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ABOUT RAD AI At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%. Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI. Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health. Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie https://www.radai.com/news/auntminnie-recognizes-rad-ai-omni-reporting-as-2023s-best-new-radiology-software, and ranked by Deloitte https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission. If you’re ready to shape the future of healthcare, we’d love to have you on our team! WHAT YOU’LL DO - Own a multimodal ML work-stream from problem definition through experimentation, evaluation, deployment, and iteration. - Translate clinical and product needs into clear ML objectives, data strategies, model approaches, and success criteria. - Build and evaluate modern ML systems, including transformers, self-supervised learning, weak supervision, detection, localization, and segmentation. - Work with image, report, and other clinical data to develop systems that are useful in real radiology workflows. - Design rigorous evaluations that go beyond aggregate offline metrics, including clinically meaningful operating points, robustness, calibration, and performance across relevant data slices. - Partner with engineering to productionize models, make practical system tradeoffs, and learn from performance after launch. - Investigate failure modes such as laterality errors, poor image or report grounding, hallucination, dataset bias, domain shift, and workflow disruption. - Communicate research findings and technical decisions clearly through design documents, experiment reviews, and presentations to technical and clinical partners. - Contribute to the research roadmap by identifying promising approaches, sharing learnings, and helping the team decide what to pursue next. - Mentor less experienced researchers and engineers through project collaboration, code and experiment reviews, and technical guidance. WHAT WE’RE LOOKING FOR - Strong applied experience in computer vision, NLP, or deep learning, with a track record of independently designing experiments, analyzing results, and turning findings into working systems. - Experience owning substantial ML projects across the full lifecycle, from data and modeling through production delivery. - Deep hands-on ability in Python and PyTorch, with strong intuition for model architecture, data quality, experimentation, and evaluation. - Experience with modern vision or multimodal techniques such as vision transformers, contrastive learning, masked image modeling, or weak supervision, etc. - The judgment to connect model performance to real user and clinical outcomes, including knowing when a benchmark improvement is not enough. - Strong collaboration skills across research, engineering, product, data, and clinical teams. - Clear written and verbal communication, including the ability to explain technical tradeoffs to both ML experts and clinical partners. - Typically 4+ years of relevant applied ML research or engineering experience, or equivalent scope and impact. We calibrate on demonstrated ownership rather than title or exact tenure. - An MS, PhD, or equivalent practical experience in Computer Science, Electrical Engineering, Machine Learning, Biomedical Engineering, or a related quantitative field. NICE TO HAVE - Experience with medical imaging, radiology, healthcare, or another high-stakes application area. - Familiarity with chest X-ray, CT, MRI, mammography, or other clinical imaging modalities. - Experience with DICOM, image-report pairing, medical data de-identification, radiology workflows, or clinically derived labels. - Experience evaluating models across patients, sites, scanner vendors, protocols, or other sources of distribution shift. - Familiarity with clinical validation, FDA or HIPAA considerations, or other regulated and privacy-sensitive environments. - Experience with 3D vision, longitudinal imaging, report generation, or clinical decision support. - Publications, open-source contributions, or other evidence of research credibility. WHAT SUCCESS LOOKS LIKE You’ll own and advance a meaningful research track from ideation through production. You’ll establish a strong understanding of the clinical problem, build a credible data and evaluation strategy, deliver models that perform reliably in practice, and help the team learn from real-world use. You’ll also become a trusted technical partner to the researchers, engineers, product leaders, data teams, and clinicians working on the broader ML roadmap. Over time, you’ll help raise the quality of research and technical decision-making through strong experimentation, clear communication, and thoughtful mentorship. OUR WORKING STYLE We’re a remote-first company with a highly collaborative, mission-driven research and engineering culture. We value direct communication, intellectual honesty, strong ownership, and practical judgment. The best work here comes from people who can go deep technically, stay close to the clinical context, and make progress even when the problem and the path are not fully defined. This role is U.S. remote, with San Francisco Bay Area preferred. We encourage people from a wide range of backgrounds to apply. If the scope of this role excites you but your experience does not match every bullet, we would still love to hear from you. Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you! To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn https://www.linkedin.com/company/radai/?utm_campaign=Recruiting_2026&utm_content=recruiting-job-posting-website&utm_source=recru%5B%E2%80%A6%5Db-posting-website to stay up to date! Location Details: For roles listed as San Francisco - Onsite: - This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs. For roles listed as United States - Remote: - This role is open to candidates located anywhere in the United States. For roles listed as San Francisco - Onsite + United States - Remote: - We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States. For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including: - Comprehensive Medical, Dental, Vision & Life insurance - HSA (with employer match), FSA, & DCFSA - 401(k) - 11 Paid Company Holidays - Flexible PTO policy - Annual company-wide offsite - Periodic team offsites - Annual equipment stipend - For roles based outside the US, your recruiter can share more details At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com http://radai.com or no-reply@ashbyhq.com.

Listed by Rad AI for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

31 days ago

Research Scientist, PhD New Grad

SentiLink · United States

Pay

$120k–220k

Setting

Remote

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provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the . We have also been named a 2026 FICO Industry Vanguard Decision Award Winner. Last but not least, we’ve even made history - we were the first company to go live with the and testified before the on the future of identity.

SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.

Role:

As a Research Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it.

We have open roles on multiple teams including:

Emerging Products - focuses on 0-to-1 development of new offerings brought to market
Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information

You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.

This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Responsibilities:

Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
Write production-ready code that can be relied on for real-time decision making by our partners.
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Requirements:

Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
Strong foundation in machine learning, statistics, or applied data science
Experience with Python and common data science tools through coursework, research, internships, or personal projects
Demonstrated ability to analyze complex problems and build data-driven solutions
Strong communication skills and ability to explain technical ideas clearly
Interest in learning deeply about fraud, identity, and financial risk systems
Ability to write clean, maintainable code
Strong attention to detail and curiosity about real-world data problems
Candidates must be legally authorized to work in the United States and must live in the United States
Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems

Salary Range:

$120,000/year - $220,000/year + equity + benefits

Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.

Perks:

Employer paid group health insurance for you and your dependents
401(k) plan with employer match (or equivalent for non US-based roles)
Flexible paid time off
Regular company-wide in-person events
Home office stipend, and more!

Corporate Values:

Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart

Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

31 days ago

Research Scientist, PhD New Grad

SentiLink · United States

Pay

$120k–220k

Setting

Remote

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SentiLink https://www.sentilink.com/ provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate. We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin. We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50 https://www.forbes.com/companies/sentilink/?list=fintech50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner https://www.businesswire.com/news/home/20260330439998/en/SentiLink-Named-a-2026-FICO-Industry-Vanguard-Decision-Award-Winner-for-Leadership-in-Identity-Theft-Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV https://resources.sentilink.com/blog/sentilink-makes-history-as-first-ecbsv-provider and testified before the United States House of Representatives https://resources.sentilink.com/media/sentilinks-statement-before-the-house-financial-services-committee on the future of identity. SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle (Bellevue), Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office. ROLE: As a Research Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early-career researchers interested in applying machine learning to real-world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands-on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real-world AI and ML exposure in an industry setting, not just research papers, this is it. We have open roles on multiple teams including: - Emerging Products - focuses on 0-to-1 development of new offerings brought to market - Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud - Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies. This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices. Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.) RESPONSIBILITIES: - Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. - Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products. - Research new types of fraud and develop new SentiLink products around identity verification. - Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering. - Write production-ready code that can be relied on for real-time decision making by our partners. - Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts. - Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access REQUIREMENTS: - Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research - Strong foundation in machine learning, statistics, or applied data science - Experience with Python and common data science tools through coursework, research, internships, or personal projects - Demonstrated ability to analyze complex problems and build data-driven solutions - Strong communication skills and ability to explain technical ideas clearly - Interest in learning deeply about fraud, identity, and financial risk systems - Ability to write clean, maintainable code - Strong attention to detail and curiosity about real-world data problems - Candidates must be legally authorized to work in the United States and must live in the United States - Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems SALARY RANGE: $120,000/year - $220,000/year + equity + benefits Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications. PERKS: - Employer paid group health insurance for you and your dependents - 401(k) plan with employer match (or equivalent for non US-based roles) - Flexible paid time off - Regular company-wide in-person events - Home office stipend, and more! CORPORATE VALUES: - Follow Through - Deep Understanding - Whatever It Takes - Do Something Smart

Listed by SentiLink for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

32 days ago

Research & Thought Leadership Lead

AirOps ·

Pay

$125k–295k

Setting

Remote

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ABOUT AIROPS AirOps is the full-service platform for brand growth in the age of AI search. As consumers shift from traditional search engines to platforms like ChatGPT, Claude, and Gemini, the entire ruleset of growth is being rewritten. Buyers now rely on agents to discover, recommend, and purchase products and services for them. If your brand isn't part of the answer, you aren't in the running. Our platform offers everything a brand needs to get found, recommended, and earn trust. We work with category leaders, including teams at Ramp, Chime, Airbnb, ServiceNow, and Rippling, to drive visibility and accelerate growth from AI search. Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we're headquartered in San Francisco, New York, and Montevideo. ABOUT THE ROLE: We’re looking for a marketing leader who can take AirOps’ existing research foundation and build on it, creating a brand that’s known for being one step ahead of what’s happening in the industry and that marketers across industries and disciplines turn to and trust for its data-driven story telling. There’s no shortage of data: AirOps has millions of data points and search queries we track on a daily basis. What we need is someone who can find the interesting story in that data and turn it into high-quality, frontier content and research. This role is a blend of thought leadership, research, and brand, and we’re looking for someone who has the ability to run the analysis and the taste to know what’s worth publishing. You’ll work directly with our executive team to set the direction for our thought leadership program, then partner across the org to turn research and insights into campaigns and programs that drive brand awareness, capture the attention of senior buyers, and help every marketer stay ahead of what’s coming next. This is a high visibility, high impact role with the ability to shape our brand, tell impactful stories, and see the impact of your work every day. WHAT YOU’LL DO - Set our thought leadership program and direction: Work directly with our CEO and CMO to set the tone, direction, and strategy for our research and thought leadership program - Determine the data worth digging into: You’re plugged in enough to know what is on our audience’s mind, and what hasn’t broken through yet, and can pair that with a strong point of view on the data we should be looking at to find the next story to tell. You’re not waiting for someone to tell you what stories to write, you’re deeply curious and have a backlog of data you want to dig into. - Source and run your own research: You might not be a classically trained researcher, but you know your way around Claude Code and can learn quickly to be able to field expert surveys, query first-party product and usage data directly, and build a real point of view from raw findings, without needing to hand that work to an outside research partner. - Build a program around research: Turn insights and thought leadership content into cross-channel campaigns and brand awareness. Work across product, events, design, product marketing, paid, and organic to create tentpole “moments” around our research that amplify our brand and point of view beyond our existing audience. - Connect research to strategy: Partner closely with product and sales leaders to understand our product roadmap and target buyers, then build plans to launch research that underscores the importance of each product we launch or industry we break into - Social distribution: Own our overall voice, tone, and cadence for research-focused social posts and content. We’re looking for someone who doesn’t want to just drive thought leadership, they want to help build our brand and voice. - Our quality bar: The quality of our thinking is reflective of the quality of the work we’ll provide to our customers. This role should be the arbiter of our quality bar, moving with urgency but making sure nothing you ship looks rushed. WHO YOU ARE - 7+ years of experience in thought leadership, content marketing, research, or equivalent. - Experience working with data: You’ve produced research reports, insights surveys, and data-driven storytelling before. You know how to dig into data and find the insight from it. - Experience with, and excitement to dig into, deep datasets: We’re looking for someone who’s excited to get into Claude Code, find a data set, and figure out how to get the insights they need. You’ll have resources you can tap, but the goal is to have someone who can run on their own. - Proven experience running cross-channel marketing campaigns: You can take a piece of content and turn it into a full campaign, spanning across paid, organic, and in-person channels, and enable our customer-facing teams on how to use this data in their conversations - Strong brand point of view: You’ve got opinions on what a great brand looks like, and want to help continue to shape and refine ours. - Experience with corporate and founder social: This role should help shape how we show up on social channels and how our thought leadership breaks through the noise. ABOUT YOU - You love a blank slate and are excited to come in and champion this program. The idea of taking this on immediately gets your wheels turning with ideas. - You obsess over quality and storytelling. You aren’t interested in shipping something unless you truly think it adds to the conversation. - You’ve got 20 newsletters you read a week and are always trying to keep up to date with the latest developments, market shifts, and opinions in the space. Being able to spot a shift before the rest of the industry catches on is a point of pride for you. - You’re high-agency and hands-on. The idea of doing both strategy and execution sounds fun and you love rallying a team behind an initiative. - You love working across marketing, sales, and customer teams and see yourself as someone who breaks down silos in an org to get everyone working together. OUR GUIDING PRINCIPLES 1. Extreme Ownership 2. Quality 3. Curiosity and Play 4. Make Our Customers Heroes 5. Respectful Candor BENEFITS - Equity in a fast-growing startup - Competitive benefits package tailored to your location - Flexible time off policy - Parental Leave - A fun-loving and (just a bit) nerdy team that loves to move fast!

Listed by AirOps for a position based in the United States. Employers on this board attest they are hiring domestically.

Science

34 days ago

Staff Computational Biologist

Freenome · Remote

Pay

Not listed

Setting

Remote

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Staff Computational Biologist Remote Apply About this opportunity: At Freenome, we are seeking a Staff Computational Biologist to help grow the Freenome Computational Biology, Assay Research (CBAR) team. As part of our team, you will apply your scientific expertise to the development of early, noninvasive tests for cancer detection. With a strong background in NGS assay development, bioinformatics, statistics, and molecular biology, you will design and execute research studies to drive early research of prototype cancer early detection products using cfDNA as biomarker. You will work closely and cross-functionally with many teams, including Molecular Research and Development, Model R&D, and Computational Biology, Assay Development to enable the concept and feasibility of multiple molecular assays as part of Freenome’s diagnostic products. The role reports to a Manager and Senior Staff Computational Biologist. This position can be a hybrid or fully remote role. What you’ll do: Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection, serving as a key thought leader on the Computational Science team. Suggest research hypotheses and areas for potential computational model and assay improvement; then plan, scope, and execute associated research in partnership with a multidisciplinary team, owning projects from ideation through implementation. Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis. In collaboration with wet lab scientists, rapidly characterize and iterate on experimental methods by providing real-time assessments of assay performance, quality control, and clinical/diagnostic utility. Remain at the forefront of molecular techniques in oncology, and collaborate with the larger team to bring forward the next generation of assays for early cancer detection. Must haves: PhD degree in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field. 6+ years of scientific industry experience applying computational techniques for biological discovery and product development, ideally to cancer or diagnostics applications in industry. Extensive experience in NGS assay and pipeline development. Demonstrated track record of implementing complex workflows for high throughput NGS data processing. Strong quantitative reasoning and data analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems. Strong computational and programming skills, including thorough experience with Python statistical packages (Numpy, Matplotlib, Pandas) or equivalents in other languages like R. Excellent oral and written communication skills to communicate to both scientific and broader audiences. Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists. Nice to haves: Expert knowledge of chromatin biology, liquid biopsy, DNA methylation and their relevance in cancer early detection. Extensive experience working with DNA methylation data for biomarker discovery research. Experience in developing, applying, and evaluating statistical and/or machine learning algorithms. 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) #LI-REMOTE Get new jobs like this in your inbox We'll email you when Freenome posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you legally authorized to work in the United States?* Select... Will you now or in the future require sponsorship for an employment visa status (e.g., H-1B, TN, O-1, etc.) to work for our company?* Select... 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