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Oncology Data Analytics Jobs (NOW HIRING)

$194K - $305K/yr

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Data Scientist to join our multi-modal biomarker discovery team. We are ...

$194K - $305K/yr

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Biomarker Discovery to join an oncology data science team dedicated to ...

Oncology Data Specialist

New Haven, CT · On-site

$17 - $22.75/hr

... oncology information from a variety of internal and external (paper and electronic) data sources in ... Must have excellent organizational skills and investigative analytic skills with detail orientation.

Oncology Data Specialist

New Haven, CT · On-site

$17 - $23/hr

... oncology information from a variety of internal and external (paper and electronic) data sources in ... Must have excellent organizational skills and investigative analytic skills with detail orientation.

Oncology Data Specialist

New Haven, CT · On-site

$17 - $22.75/hr

... oncology information from a variety of internal and external (paper and electronic) data sources in ... Must have excellent organizational skills and investigative analytic skills with detail orientation.

Showing results 21-40

Oncology Data Analytics information

See salary details

$153K

$178.7K

$202K

How much do oncology data analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for oncology data analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

How does an oncology data analytics professional collaborate with clinical teams to improve patient outcomes?

Oncology Data Analytics professionals work closely with clinicians, researchers, and IT staff to collect, interpret, and visualize cancer-related data. They often participate in multidisciplinary meetings to translate analytical findings into actionable insights for treatment planning or clinical trials. By ensuring data integrity and providing real-time analysis, they help healthcare teams identify trends, monitor patient progress, and optimize care pathways. Strong communication skills are important, as these professionals must explain complex data concepts to non-technical stakeholders and facilitate data-driven decision-making.

What skills and qualifications are needed for oncology data analytics?

To thrive in Oncology Data Analytics, you need strong analytical skills, a background in statistics or epidemiology, and a relevant degree such as public health, biostatistics, or data science. Proficiency in data analysis tools like SQL, R, Python, and experience with oncology-specific databases and electronic health records is typically required. Attention to detail, problem-solving, and effective communication are critical soft skills for translating complex data into actionable insights for clinical and research teams. These competencies ensure accurate, reliable analysis that drives evidence-based decision-making in cancer care and research.

What is the difference between Oncology Data Analytics vs Oncology Data Management?

AspectOncology Data AnalyticsOncology Data Management
Required SkillsData analysis, statistical tools, programmingData entry, database management, quality control
Work EnvironmentResearch labs, healthcare analytics teamsHospitals, clinical data departments
Industry UsageAnalyzing patient data, improving treatment outcomesMaintaining and organizing oncology data records

Oncology Data Analytics focuses on analyzing complex data to derive insights and support decision-making in cancer care. In contrast, Oncology Data Management involves organizing, maintaining, and ensuring the accuracy of oncology data. Both roles are essential in the healthcare industry but serve different functions within oncology data workflows.

What is oncology data analytics?

Oncology Data Analytics is the process of collecting, managing, and analyzing data related to cancer care to improve patient outcomes, optimize treatments, and support research. Professionals in this field use statistical methods and specialized software to interpret clinical, genomic, and operational data generated from oncology practices. This helps healthcare providers identify trends, evaluate the effectiveness of therapies, and make evidence-based decisions. Oncology data analytics also plays a key role in advancing cancer research and supporting personalized medicine.
More about Oncology Data Analytics jobs
What cities are hiring for Oncology Data Analytics jobs? Cities with the most Oncology Data Analytics job openings:
What states have the most Oncology Data Analytics jobs? States with the most job openings for Oncology Data Analytics jobs include:
What job categories do people searching Oncology Data Analytics jobs look for? The top searched job categories for Oncology Data Analytics jobs are:
Infographic showing various Oncology Data Analytics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.

$194K - $305K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Merck rating

8.0

Company rating: 8.0 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

43rd of 86 rated pharmaceutical


Job description

Job DescriptionThe Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting a Director of Oncology Data Scientist to join our multi-modal biomarker discovery team. We are seeking an experienced and innovative computational scientist to perform data mining of multi-modal tumor profiling datasets and inform decisions across all stages of our company's expanding oncology pipeline.The successful candidate will:Enable reverse translation from large multi-modal clinical datasets to inform biomarker discovery and combination strategies in molecularly defined patient populations with high unmet medical need.Analyze, summarize and visualize the findings from large multi-modal clinico-genomic datasets which include bulk RNAseq, WES/WGS, imaging, epigenetic profiling, single-cell RNAseq, and proteomics data from oncology clinical trials and real-world datasets.Leverage advanced deep learning and AI methods and multivariate predictive modeling to discover novel biomarkers predictive of clinical outcomes.Effectively collaborate with AIML teams working on development of foundation models trained on large cohorts of human data.Present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including early discovery, translational and clinical development teams.QUALIFICATIONS:Education:Master's (with 10+ years) or Ph.D. (with 6+ years) in quantitative discipline such as Engineering, Applied Physics/Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component and relevant experience in pharma, biotech or academic setting.Required Experience and Skills:Experience in applying computational methods in cancer biology.Demonstrated expertise in the application of methods of statistical learning and data mining to the integrative analysis of multimodal, high-dimensional tumor profiling datasets in the oncology and immuno-oncology context.Hands-on analysis experience with the application of machine learning algorithms to large clinico-genomic, genetic and immunogenomic real-world and clinical trial datasets.Extensive experience and demonstrated expertise to code in scientific computation environments with adoption of best practices for reproducible data analyses.Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses; attention to detail.Independent, flexible and collaborative mindsetPreferred Experience and Skills:Demonstrated experience with analysis of large-scale multi-modal data originating from clinical trials and real-world datasets.Deep understanding of the major concepts of cancer biology as represented in multi-modal molecular and imaging data.Experience within a matrixed industry environment and ability to effectively collaborate with colleagues from a wide range of disciplines.Record of publishing in high profile scientific journals-#EligibleforERP-Required Skills: Bioinformatics, Cancer Genomics, Cancer Research, Computational Biology, Computational Methods, Data Science, Deep Learning, High Dimensional Data Analysis, Immuno-Oncology, Machine Learning (ML), Multimodal Analysis, Oncology, Real World Data, Statistical LearningPreferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.--As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.- For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:EEOC Know Your Rights EEOC GINA Supplement• We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.Learn more about your rights, including under California, Colorado and other US State Acts The salary range for this role is$194,100.00 - $305,600.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits.- Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. San Francisco Residents Only: -We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance Los Angeles Residents Only: -We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance Search Firm Representatives Please Read Carefully-Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. -No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.-Employee Status: RegularRelocation:Domestic/InternationalVISA Sponsorship:Yes Travel Requirements: 10%Flexible Work Arrangements:HybridShift:1st - DayValid Driving License:NoHazardous Material(s):N/AJob Posting End Date:08/20/2026 *A job posting is effective until 11:59:59PM on the day BEFORE -the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R409351 Salary: . Date posted: 08/07/2026

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