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Research Scientist
ŌURA · Remote - United States
Pay
$70k–240k
Setting
Remote
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Research Scientist
Remote - United States
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Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.
Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.
We are seeking a Research Scientist to join our Health Science team, with a specific focus on candidates who bring proven experience conducting scientific and clinical studies in the United Arab Emirates (UAE). In this role, you will help Oura deepen its scientific and clinical presence in the UAE by designing high-quality studies, building strong external collaborations, generating publishable evidence, and translating findings into insights that support research, product development, and broader business priorities.
This is a remote role based in the U.S with a strong preference for candidates based on the East Coast (Eastern Time). Oura’s remote employees in major cities like Boston, DC, and New York occasionally gather informally at local co-working locations.
What you will do
Lead the design of scientific and clinical studies, including observational, prospective, retrospective, and interventional study types, with a particular emphasis on work involving UAE-based collaborators, sites, or populations.
Analyze and interpret complex wearable, physiological, clinical, and multimodal biobehavioral datasets to generate meaningful health insights.
Build reproducible analytical workflows and communicate results clearly through notebooks, figures, reports, manuscripts, and presentations.
Apply rigorous statistical and computational methods, including time-series analysis, regression or mixed models, Bayesian methods, and machine-learning approaches where appropriate.
Contribute to manuscripts, abstracts, reports, patents, and other scientific dissemination activities.
Provide scientific and clinical input that helps Oura make evidence-based decisions across research, product, and partnership efforts.
Work cross-functionally with Science, Research Operations, Product, Clinical, Regulatory, and data partners to move studies from concept to execution and insight generation.
Requirements
We would love to consider you for this role if you have:
A PhD in a relevant field such as psychology, neuroscience, behavioral or health sciences, sleep and circadian biology, physiology, cardiometabolic health, endocrinology, women’s health, digital health, biostatistics, biomedical engineering, computer science, data science, or a related discipline.
A strong track record of leading scientific research from hypothesis through publication, including first-authored peer-reviewed work.
Demonstrated experience designing and running human subjects studies, including protocol development, endpoint selection, ethics or IRB processes, and scientific dissemination.
Advanced programming and analytical skills in Python and/or R, with experience using SQL and working on complex physiological, wearable, time series, or multimodal biobehavioral datasets.
Experience with reproducible computational workflows using tools such as Jupyter, RStudio, Git, Docker, and/or Conda.
Fluency in statistical modeling and scientific data visualization, with the ability to turn complex analyses into clear, decision-ready insights.
A self-directed, collaborative, and translational mindset that connects rigorous science to practical health applications.
Preferred Qualifications:
A proven record of conducting science and/or clinical studies in the UAE, with the judgment and credibility to work effectively with regional collaborators and stakeholders.
Experience working at the intersection of industry and academia.
Benefits
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.
What we offer:
Competitive salary and equity packages
Health, dental, vision insurance, and mental health resources
An Oura Ring of your own plus employee discounts for friends & family
20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
Paid sick leave and parental leave
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
Region 1: $151,300 - $178,000
Region 2: $138,550 - $163,000
Region 3: $$127,500 - $150,000
A recruiter can determine your Region based on your US location.
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
Our jobs are listed only on the ŌURA Careers page and trusted job boards.
We will never ask for personal information like ID or payment for equipment upfront.
Official offers are sent through Docusign after a verbal offer, not via text or email.
Stay cautious and protect your personal details.
To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.
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Senior Manager, Forward Deployed Research
Snorkel AI · New York City, NY (Hybrid)
Pay
$185k–322k
Setting
Remote
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Senior Manager, Forward Deployed Research
New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)
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About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
Senior Manager, Forward Deployed Research
Locations: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); US (Remote)
About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the frontier AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. Our Data-as-a-Service (DaaS) organization partners with frontier AI labs to solve some of the hardest data challenges, creating training and evaluation data that power the next generation of models.
About the Role
Snorkel AI is hiring a Senior Manager on the Forward Deployed Research team to own how we show what our data does. You own two related functions: benchmarking the latest frontier models against our data series to expose where they fall short, and tuning customer and open-source models on our data to demonstrate the lift it produces. Both become the evidence behind our data pitch and a signal for what to build next.
This is a player-coach role. You own the system, the standards, and the output: the methodology, the quality bar, and the intelligence we produce, while hiring and developing a small team of engineers and researchers. You define the tooling and automation the function needs and partner with Engineering to build it. You stay hands-on in the technical work and grow the function as demand climbs.
You partner across GTM, where this work opens and advances deals, with Research as a research partner, and with Engineering to build the underlying tooling. The right person is a strong engineer with real evaluation depth, can hold their own on frontier AI, and wants to own a function and grow a team.
Main Responsibilities
Own the system for measuring what our data does: define how we benchmark and tune models on our data, and the tooling and automation the function needs, partnering with Engineering to build it
Recruit, hire, and develop a small team of engineers and researchers; a player-coach role, hands-on technical work plus team leadership
Own the methodology and playbook for benchmarking and tuning: the model panels, the metrics we report, the tuning setups, and the quality bar, so results are consistent, repeatable, and defensible across accounts and data series
Turn benchmark results into gap intelligence: clear analyses of where models fall short that serve as the evidence behind our data pitch and a primary input to what we build next
Tune customer and open-source models on our data to demonstrate the lift it produces, and turn that into presales material and intelligence
Partner cross-functionally with the GTM team where this work opens and advances deals, with Research as a research partner, and with Engineering, who build the underlying platform and automation you direct
Serve as the technical authority on evaluation: escalation point for complex or high-stakes benchmarking, and the person ensuring our published pass rates and model comparisons are rigorous and credible
Preferred Qualifications
8+ years in applied ML, model evaluation, or research-intensive engineering, with a track record of building technical systems
Strong software engineering skills, with experience building data or evaluation pipelines, automation, and tooling that scale
Deep understanding of model evaluation and benchmarking: designing evaluations, selecting model panels and metrics, and producing rigorous, defensible results
Strong fluency in frontier AI concepts including LLMs, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments
Experience leading, hiring, and developing technical talent; comfortable as a player-coach who stays hands-on while growing a team
Ability to translate technical results into clear insights for technical and go-to-market audiences, and to partner effectively across research, engineering, and GTM
Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration
M.S. in Computer Science, Machine Learning, or related field
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly, offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Compensation
The base salary range for this position is $185,000–$321,600, depending on location, experience, and qualifications. This role is also eligible for variable compensation, and stock grants.
Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.
Salary range(s) for this role
$185,000 - $321,600 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Personal Information Protection Notice for EU and UK Applicants
1. Introduction
Snorkel AI and its subsidiaries and affiliates (“Company” or “We”) [operate/may operate] in many different countries. Some of these countries have laws related to the collection, use, transfer and disclosure of the personal information of individuals, including applicants. We take these obligations very seriously and are committed to protecting the privacy of our current and former applicants.
The purpose of this Personal Information Protection Notice for EU and UK Applicants (“Notice”) is to give applicants who are based in the EU and UK, (“EU and UK Applicants”) information about: what personal information we collect; how we collect, use and disclose that information and the legal grounds for us doing this; and their rights in respect of their personal information.
Snorkel AI is the data controller of your personal information and is responsible for how your personal information is processed.
This Notice does not form part of your application or any future contract of employment and may be updated at any time. We will provide you with a revised Notice if we make any substantial updates. It is important you read this Notice, so that you are aware of how and why we are using your personal information.
2. What Information We Collect About EU and UK Applicants
Before, during and after their application to the Company, including time spent on the Careers section of our website (located at https://snorkel.ai/company/ (“Snorkel Careers”) we may collect and process information about EU and UK Applicants. We refer to such information in this Notice as “EU and UK Personal Information.” We collect the following EU and UK Personal Information:
Personal Details: Name, home contact details (email, phone numbers, physical address) languages(s) spoken, gender, date of birth, national identification number, social security number, disability status, emergency contact information and photograph;
Documentation Required under Immigration Laws: Citizenship and passport data, details of residency or work permit;
Talent Management Information: Details contained in letters of application and resume/CV (previous employment background, education history, professional qualifications and memberships, language and other relevant skills, certification, certification expiration dates), information necessary to complete a background check, information relating to references such as referees’ names and contact details, details on performance management ratings, development programs planned and attended, e-learning programs, performance and development reviews, willingness to relocate, driver’s license information, and information used to populate employee biographies;
Any other information you provide to us: such as current salary, desired salary, employment preferences; and
Sensitive Information: EU and UK Personal Information revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, or trade union membership, and the processing of genetic data or biometric data for the purpose of uniquely identifying a natural person, data concerning health or data concerning a person’s sex life or sexual orientation, and criminal conviction data. Data concerning health may include your body temperature, health symptoms and other screening information in connection with the Company’s health and safety plans and protocols, including screening required to access Company offices/facilities and other measures designed to prevent the transmission of COVID-19 or other infectious diseases.
We ask that you avoid submitting Sensitive Information, unless such information is legally required and/or the Company requests you to submit such information.
Any information you submit through the Careers Site must be true, complete and not misleading. Submitting inaccurate, incomplete or misleading information may lead to a rejection of your application during the recruitment process or disciplinary action including immediate termination of your employment. In addition, it is your responsibility to ensure that the information you submit does not violate any third party’s rights.
If you provide us with personal information of a referee or any other individual as part of your application, it is your responsibility to obtain consent from that individual prior to providing the information to us.
3. Sources of EU and UK Personal Information
We collect EU and UK Personal Information from the following sources:
EU and UK Applicants: in person, online, by telephone, or in written correspondence and forms;
Third-party websites: where you can apply for jobs at the Company;
Previous employers and other referees: in the form of employment references;
Background and credit check vendors: as part of the recruitment process;
Employment agencies and recruiters; and
Providers of sanctions and “politically exposed persons” screening lists.
4. How we use and disclose EU and UK Personal Information
Legal Basis for Processing
We will only use EU and UK Personal Information when the law allows us to. Most commonly, we will use your EU and UK Personal Information in the following circumstances:
where it is necessary in order to take steps at your request prior to entering into an employment contract;
where it is necessary to comply with a legal obligation (including, in respect of Sensitive Information, obligations under employment law) on us; and
where it is necessary for our legitimate interests (or those of a third party) and your interests and fundamental rights do not override those interests. For example, the Company has a legitimate interest in conducting certain background checks on applicants to ensure that it is offering employment to those individuals whom it considers are most likely to be successful when working for the Company.
We may also use your EU and UK Personal Information in the following situations, which are likely to be rare:
where it is necessary to protect your (or someone else's) vital interests (and, in the case of Sensitive Information, where you are incapable of consenting);
where it is necessary for us to defend, prosecute or make a claim against you, us or a third party; and
in the case of Sensitive Information, where you have made the information public.
In particular, we may use your Sensitive Information, such as health/medical information, in order to accommodate a disability or illness during the recruitment process, and reduce the risk of transmission of COVID-19 or other infectious diseases should you be visiting the Company offices, your diversity-related EU and UK Personal Information (such as race or ethnicity) in order to comply with legal obligations relating to diversity and anti-discrimination, and your criminal conviction data only where it is appropriate (given the role for which you are applying) and we are legally able to do so.
Purposes of Processing
We process EU and UK Personal Information for the following purposes:
Managing Workforce: Managing recruitment and assessing your suitability, capabilities and qualifications for a job with us, processing your application and performing background checks if we offer you a job, such as credit checks, anti-fraud checks and checks to prevent fraud and money laundering;
Communications: Facilitating communication with you regarding your application;
Taking legal action: Pursuing legal rights and remedies, defending litigation and managing any internal complaints or claims, conducting investigations and complying with internal policies and procedures; and
Compliance and safety: Complying with legal (including, in respect of Sensitive Information, obligations under employment law) and other requirements, such as record-keeping and reporting obligations, conducting audits, compliance with government inspections and other requests from government or other public authorities, responding to legal process such as subpoenas. This includes complying with applicable public health guidelines and requirements related to the prevention and control of COVID-19 or other infectious diseases, as well as ensuring the health and safety of employees by controlling access to and monitoring our physical premises (e.g. by requiring health screenings to access Company offices/facilities).
There may be more than one purpose that justifies our use of your EU and UK Personal Information in any particular circumstance.
We will only use your EU and UK Personal Information for the purposes for which we collected it, unless we reasonably consider that we need to use it for another reason and that reason is compatible with the original purpose. If we need to use your EU and UK Personal Information for an unrelated purpose, we will notify you and explain the legal basis which allows us to do so.
If you fail to provide certain EU and UK Personal Information when requested, we may not be able to review your application, or we may be prevented from complying with our legal obligations.
Disclosures to third parties
We share EU and UK Personal Information with the following unaffiliated third parties:
Service Providers: Companies that provide products and services to the Company such as human resources services, IT systems suppliers and support and background check providers, recruiters and headhunters, and hosting service providers; and
Public and Governmental Authorities: Entities that regulate or have jurisdiction over the Company such as regulatory authorities, public bodies, and judicial bodies, including to meet national security or law enforcement requirements.
5. Transfer of EU and UK Personal Information
The Company may disclose EU and UK Personal Information throughout the world to fulfill the purposes described above. This may include transferring EU and UK Personal Information to other countries (including countries other than where an EU or UK Applicant is based and located outside the European Economic Area (“EEA”) and UK) that have different data protection regimes and which are not deemed to provide an adequate level of protection for EU and UK Personal Information. To ensure that EU and UK Personal Information is sufficiently protected when transferred outside the EEA and UK the Company has put in place protective measures. Further information regarding the Company’s protective measures is available from our Data Protection Officer.
6. Data Security
The Company will take appropriate measures to protect EU and UK Personal Information that are consistent with applicable privacy and data security laws and regulations, including requiring service providers to use appropriate measures to protect the confidentiality and security of EU and UK Personal Information.
Access to EU and UK Personal Information within the Company will be limited to those who have a need to know the information for the purposes described above, and may include personnel in HR, IT, Compliance, Legal, Finance and Accounting. Such personnel will generally have access to EU and UK Applicants’ business contact information such as name, desired position, telephone number, postal address and email address.
The Company has put in place procedures to deal with any suspected data security breach and will notify you and any applicable regulator of a suspected breach of your EU and UK Personal Information where we are legally required to do so.
7. Data Retention
The Company’s retention periods for EU and UK Personal Information are based on business needs and legal requirements. We retain EU and UK Personal Information for as long as is necessary for the processing purpose(s) for which the information was collected, as set out in this Notice, and any other permissible, related purposes. For example, we may retain certain information to comply with regulatory requirements regarding the retention of such data, or in the event a litigation hold is imposed. When EU and UK Personal Information is no longer needed, we [either irreversibly anonymise the data (and we may further retain and use the anonymized information) or] securely destroy the data. [For more information on specific retention periods, please refer to the Company’s Data Retention Policy].
8. Data Accuracy
The Company will take reasonable steps to ensure that the EU and UK Personal Information processed is reliable for its intended use and is accurate and complete for carrying out the purposes described in this Notice.
9. Automated Decisions
The Company does not envisage that you will be subject to decisions that will have a significant impact on you based solely on automated decision-making. The Company will notify you in writing if this position changes.
10. Your Rights
You have the right, in certain circumstances, to object to the processing of your EU and UK Personal Information. You can exercise this right by contacting Liz Sweet, VP of People at liz.sweet@snorkel.ai.
You also have the right, in certain circumstances, to access your EU and UK Personal Information, to correct inaccurate EU and UK Personal Information, to have your EU and UK Personal Information erased, to restrict the processing of your EU and UK Personal Information, to receive the EU and UK Personal Information you have provided to the Company in a structured, commonly used and machine-readable format for onward transmission, and to object to automated decision-making. If you wish to exercise any of these rights, please contact Liz Sweet, VP of People at liz.sweet@snorkel.ai. Please note that certain EU and UK Personal Information may be exempt from such access, correction, erasure, restriction and portability requests in accordance with applicable data protection laws or other laws and regulations.
You also can file a complaint with your local data protection supervisory authority. Please contact Liz Sweet, VP of People at liz.sweet@snorkel.ai for details of the relevant authority.
11. Your Obligations
You should keep your EU and UK Personal Information up to date and inform us of any significant changes to your EU and UK Personal Information.
12. Questions or Complaints
Please contact the VP of People, Liz Sweet at liz.sweet@snorkel.ai with any questions or complaints regarding this Notice or the Company’s privacy practices.
Applicant’s Acknowledgment
I acknowledge that I have received a copy of the Company’s Personal Information Protection Notice for EU and UK Applicants and that I have read and understood it.
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As set forth in Snorkel AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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Databricks Data Scientist
Guidehouse · United States of America
Pay
$113k–188k
Setting
Remote
Listed by Guidehouse for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Computational Biologist
Freenome · Remote
Pay
Not listed
Setting
Remote
Staff Computational Biologist
Remote
Apply
About this opportunity:
At Freenome, we are seeking a seasoned Staff Computational Biologist to help grow the Freenome Computational Science team. The ideal candidate is an expert in computational biology, genomics, and modeling, with a proven track record in industry settings. In this role, you will apply your background in computational biology and statistics to drive the creation of new applications and enhance algorithms for identifying molecular signatures of cancer. You will collaborate closely with machine learning scientists and computational biologists to iteratively advance computational models and assays, playing a key role in bringing products to the clinic. By joining us, you will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.
The role reports to the Manager and Staff Computational Biologist leading genomics modeling within Computational Science. This position can be onsite, hybrid, or remote (US only), based out of our campus in Brisbane, California.
What you’ll do:
Serve as a key thought-leader on the Computational Science team, leading the analysis and interpretation of cancer's molecular signatures and staying current with the field.
Guide and contribute to the development of models that characterize biological changes associated with cancer.
Execute rigorous computational analyses on data from best-in-class molecular assays, including whole genome sequencing, whole genome bisulfite sequencing, targeted sequencing, RNA sequencing, and protein quantitation.
Design novel statistical models for the evaluation, characterization, and modeling of these data types within the context of cancer biology and progression.
Identify research hypotheses and potential areas for model improvement; plan, scope, and execute associated research projects with a skilled team of computational biologists.
Solve complex analytical challenges inherent to the study of cell-free circulating nucleic acids and proteins.
Partner closely with molecular biologists to collaboratively refine wet lab experiments, and with development scientists to turn research models into products.
Support the professional development and career growth of talented, cross-functional computational biologists within your team.
Must haves:
PhD or equivalent experience in a relevant quantitative field (e.g., computational biology, cancer biology, statistics, bioinformatics).
At least 8 years of post-PhD experience applying computational techniques for biological discovery and product development, preferably in cancer or diagnostics within an industry setting.
Deep expertise in cancer and molecular biology, with a proven ability to leverage this knowledge for computational biology and diagnostics problems in cancer.
Extensive experience analyzing data and developing models for high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, proteomics, (e.g., Methyl-seq, ATAC-seq, RNA-seq, Hi-C, immunodetection assays).
Proficiency in computational and programming skills, including extensive experience with Python statistical packages (Numpy, Matplotlib, Pandas) and modeling packages (Scikit-learn, TensorFlow, PyTorch) or equivalents in languages like R or C/C++.
Nice to haves:
Experience training, evaluating, or applying biological sequence models—specifically sequence-to-function models that learn and predict functional biology directly from raw DNA, RNA, or protein sequences.
Experience developing or applying single-cell genomic or transcriptomic models to translate biological heterogeneity into generalizable regulatory or epigenomic signatures.
Experience modeling cell-free DNA (cfDNA) signals specifically for early disease detection and diagnostic applications.
Benefits and additional information:
The US target range of our base salary rate for new hires is $188,275 - $270,375. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.
Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
California applicants please review the CCPA Notice at Collection here:
California Consumer Privacy Act (CCPA)
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Computational Biology Specialist - Metagenomics
Guidehouse · United States of America
Pay
$98k–163k
Setting
Remote
Listed by Guidehouse for a position based in the United States. Employers on this board attest they are hiring domestically.
Head of Adversarial Research
TENEX.AI · United States
Pay
$170k–275k
Setting
Remote
Listed by TENEX.AI for a position based in the United States. Employers on this board attest they are hiring domestically.
Research Scientist
OpenRouter · United States
Pay
$250k–285k
Setting
Remote
Listed by OpenRouter for a position based in the United States. Employers on this board attest they are hiring domestically.
Staff Biostatistician
Freenome · Remote
Pay
Not listed
Setting
Remote
Staff Biostatistician
Remote
Apply
About this opportunity:
We are seeking a Staff Biostatistician to expand the Freenome Biostatistics team. This role will support statistical study design, analysis, summarization of clinical studies to support research, development and regulatory submissions for Freenome’s in vitro diagnostic products (IVDs). The ideal candidate is passionate about biostatistics and the opportunity to have a significant impact to change the landscape of early cancer detection.
This role will report to the Senior Director, Biostatistics. This role will be a Remote role.
What you’ll do:
Perform in a lead Biostatistician role and provide technical expertise as a core team member of high complexity clinical studies, including statistical oversight and attending relevant project meetings.
Provide expert level statistical guidance and thought leadership for innovative study design and clinical development plans, including endpoint selection powering.
Develop the statistical sections of the study protocol for clinical studies.
Responsible for interpreting analysis results and ensuring reporting accuracy in study reports and regulatory documents.
Conduct overall statistical review of TFLs for clinical studies.
Manage operations work with internal statistical programmers to ensure timeliness and quality of deliverables.
Represent Biostatistics in interactions with regulatory authorities (e.g FDA) and during audits.
Support the preparation of abstracts, oral presentations, manuscripts and written reports by ensuring the results of clinical programs and studies are effectively communicated to internal and external stakeholders.
Provide statistical expertise to internal and external stakeholders (e.g., presentation/publication, Marketing, Health Economics & Reimbursement).
Create, maintain, and implement SOPs, processes, standards, and work instructions with respect to biostatistics to ensure compliance, accuracy, efficiency, and optimization.
Must haves:
Masters degree or higher in Statistics, Biostatistics or Math.
10+ years of lead project work as a statistician on clinical trial projects.
Expert understanding of related aspects of biostatistics processes and systems.
Excellent written and verbal communication skills including the ability to interact professionally with all organizational levels to drive achievement of deliverables.
Strong interpersonal and relationship management skills including the ability to proactively elevate and resolve issues cross-functional to ensure project objectives are met.
Comprehensive organizational, judgment, analytical, decision-making, and influencing skills.
Proven successful project management leadership skills.
Expert understanding of clinical trial design while identifying applications of functional knowledge and methodologies to resolve complex problems.
Experience leading briefings and technical meetings for internal and external stakeholders.
Ability to develop effective peer, cross functional and cross business relationships to maximize best practice sharing and team effectiveness.
Ability to thrive in a fast paced, dynamic, and constantly changing work environment.
Strong programming skills using R (required) and Python (preferred). Demonstrated proficiency with literate programming (R markdown/ Sweave).
Nice to haves:
Ph.D degree or higher in Statistics, Biostatistics or Math.
Experience leading IVD clinical Biostatistics to FDA submission.
Knowledge of CDISC requirements preferred.
Benefits and additional information:
The US target range of our base salary rate for new hires is $166,175 - $237,825. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.
Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)
California applicants please review the CCPA Notice at Collection here:
California Consumer Privacy Act (CCPA)
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A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
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Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.
How do you know if you have a disability?
A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:
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Listed by Freenome for a position based in the United States. Employers on this board attest they are hiring domestically.
Health AI ML Data Scientist
Guidehouse · United States of America
Pay
$85k–141k
Setting
Remote
Listed by Guidehouse for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Research Data Analyst
Komodo Health · United States
Pay
$128k–160k
Setting
Remote
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Senior Research Data Analyst
United States
Apply
We Breathe Life Into Data
At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.
As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.
The Opportunity at Komodo Health
This role is critical to designing and implementing data processing and analysis programming pipelines for Life Science/HEOR/RWE research studies utilizing the Komodo Healthcare Map.
Looking back on your first 12 months at Komodo Health, you will have accomplished…
Architected end-to-end programming pipelines for large-scale healthcare data extraction, transformation, and validation using SQL to power observational research studies leveraging Komodo Healthcare Map.
Led the implementation of analytical plans featuring complex statistical modeling in R, aligning research objectives with appropriate methodological approaches to support HEOR/RWE studies.
Maintained high-quality standards through rigorous documentation, best coding practices, quality control processes, and version control with Git throughout the study lifecycle.
Produced publication-ready deliverables meeting industry standards for external clients.
Presented interim and final results to cross-functional stakeholders, incorporating feedback to refine analyses.
Designed and implemented standardized programming modules to enhance research reproducibility and analytical efficiency across projects.
You will accomplish these outcomes through the following responsibilities…
Collaborate with cross-functional teams to design and execute observational research studies, by developing SQL data pipelines and R-based statistical analyses.
Validate analysis work, troubleshoot issues, and iterate on analytic approaches to ensure alignment with research protocols and study objectives.
Support internal tool development and contribute to publications to enhance Komodo's scientific presence.
What you bring to Komodo Health (required):
MS in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or a related quantitative field.
5+ years of industry experience developing production-grade SQL pipelines (querying, cleaning, transformation) for large-scale databases.
Proficient in R (preferred), Python, or SAS for statistical programming.
Experience with Git version control and command-line workflows.
Hands-on experience with administrative claims, EHR, or equivalent RWD. Familiarity with healthcare data models and U.S. medical coding systems (ICD-10, CPT, NDC).
Experience collaborating with epidemiologists/SMEs to execute research studies, with a solid understanding of epidemiological principles.
Proven ability to implement statistical analysis (descriptive analytics, regression, hypothesis testing, and visualization).
Adaptability to learn new tools and methods in fast-paced environments; ability to manage concurrent projects with competing deadlines.
Additional skills and experience we’d prioritize (nice to have)…
Advanced SQL skills (dbt, query optimization).
Experience with advanced observational study designs.
Extensive HEOR/RWE expertise on treatment pattern analysis, LoT, HCRU/cost analysis, synthetic control arm and patient outcome research.
Experience with health economic modeling, including Budget Impact Models (BIM) and Cost-Effectiveness Analysis (CEA).
Advanced statistical modeling experience in PSM, survival analysis, causal inference, and bootstrapping.
Contributions to peer-reviewed publications.
Exposure to RESTful APIs, R package development, or Shiny apps.
#LI-Remote
The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.
The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.
San Francisco Bay Area and New York City:
$147,000 - $160,000 USD
All Other US Locations:
$128,000 - $160,000 USD
Komodo's AI Standard
At Komodo, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.
Join us in shaping the future of healthcare intelligence.
Where You’ll Work
Komodo Health has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.
Equal Opportunity Statement
Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
By submitting your application, you acknowledge that you have read and understand Komodo Health’s Privacy Notice for Employees and Contractors.
This notice explains how we collect, use, and retain applicant data.
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We’d love to learn more about your working preferences. Komodo Health strives to ensure that its employees are supported with adequate resources, regardless of location. Roles at Komodo are labeled as either Remote, Location Flexible (within a specific region or commutable to any U.S. office) or Location Specific (working from a specific office). Note - Your answer to this question does not impact your application in any way.*
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For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Komodo Health’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:
A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
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We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.
Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.
How do you know if you have a disability?
A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:
Alcohol or other substance use disorder (not currently using drugs illegally)
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Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
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