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Biomarker Discovery Jobs (NOW HIRING)

As a Sr. Scientist in Biomarker Discovery, you will play a pivotal role in advancing immunology therapeutics within our organization. Working with the WCH team, you will lead and execute cutting-edge ...

The successful candidate will integrate discovery, translational, and clinical perspectives to ensure biomarker strategies inform patient selection, target engagement, pharmacodynamics, and disease ...

The successful candidate will integrate discovery, translational, and clinical perspectives to ensure biomarker strategies inform patient selection, target engagement, pharmacodynamics, and disease ...

Biomarker Scientist

Andover, MA · On-site

$35.75 - $44.75/hr

... for biomarker discovery using mass cytometry (CyTOF) Qualifications BS/MS level education in immunology , cell biology or related fields required 3-6 years of experience in laboratory work in ...

Advance biomarker strategies (pharmacodynamic, predictive, and patient stratification) to support ... Align discovery programs with clinical strategy, unmet need, and competitive landscape External ...

Advance biomarker strategies (pharmacodynamic, predictive, and patient stratification) to support ... Align discovery programs with clinical strategy, unmet need, and competitive landscape External ...

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Biomarker Discovery information

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$49K

$203.5K

$400K

How much do biomarker discovery jobs pay per year?

As of Jun 16, 2026, the average yearly pay for biomarker discovery in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What types of teams and professionals do Biomarker Discovery specialists commonly collaborate with?

Biomarker Discovery specialists often work closely with cross-functional teams that include clinical researchers, bioinformaticians, statisticians, pathologists, and project managers. Collaboration is vital in designing experiments, analyzing complex data sets, and advancing candidate biomarkers from discovery through validation and clinical application. These professionals frequently attend joint meetings, share results, and contribute expertise to integrated project goals. Working in this collaborative environment helps ensure comprehensive scientific approaches and accelerates the development of meaningful diagnostic or therapeutic tools.

What is a Biomarker Discovery job?

A Biomarker Discovery job involves identifying biological markers—measurable indicators of diseases or biological processes—that can be used for diagnosis, prognosis, or treatment decisions. Professionals in this field work with biological samples, data analysis, and validation studies to find novel biomarkers. Their work is critical for developing new diagnostic tools and improving personalized medicine approaches. Roles typically require expertise in molecular biology, bioinformatics, and clinical research.

What are the key skills and qualifications needed to thrive in the Biomarker Discovery position, and why are they important?

To thrive in Biomarker Discovery, candidates typically need a strong background in molecular biology, biochemistry, or pharmacology, and an advanced degree such as a PhD or MS is often preferred. Proficiency with technologies like mass spectrometry, next-generation sequencing, bioinformatics platforms, and data analysis software is crucial in this field. Strong problem-solving abilities, attention to detail, and the capacity to effectively communicate findings within multidisciplinary teams help distinguish top performers. These skills are critical for identifying, validating, and translating biological markers into clinical applications that can significantly impact patient care and drug development.

More about Biomarker Discovery jobs
What cities are hiring for Biomarker Discovery jobs? Cities with the most Biomarker Discovery job openings:
What states have the most Biomarker Discovery jobs? States with the most job openings for Biomarker Discovery jobs include:
What job categories do people searching Biomarker Discovery jobs look for? The top searched job categories for Biomarker Discovery jobs are:
Infographic showing various Biomarker Discovery job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, and 99% Full Time. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.
Senior Data Scientist, Neuroscience Biomarker Discovery

Senior Data Scientist, Neuroscience Biomarker Discovery

MSD

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Description

Our Company's Data, AI & Genome Sciences Department in Cambridge, MA is seeking a Senior Specialist (Senior Scientist), Data Science - Neuroscience Biomarker Discovery to join our ongoing efforts of using cutting-edge data analytic approaches to identify biomarkers and inform translational strategies in Neuroscience. The qualified individual will be a motivated data scientist or computational biologist with a track record of developing and using advanced AI/ML methodologies to analyze proteomics data and integrate with other data modalities to drive biomarker discovery. In this role, they will develop and deploy computational approaches to integrate biofluid proteomics data with other omics data from patient cohorts and preclinical models to identify biomarkers for disease severity or progression, pathological subtypes, and target pathway biology in Alzheimer's disease, Parkinson's disease, and pain. To achieve these goals, they will drive the development of new approaches that enable target-biomarker-indication mapping and contextualization. They will work alongside other data scientists, geneticists, AI/ML scientists in the department to develop and apply innovative approaches to analyze and integrate proteomics data with WGS, bulk/single-cell/spatial RNAseq, and metabolomics data to identify disease subtypes and predict therapeutic responses of biomarkers and clinical endpoints in specific subgroups of patients. They will also be closely collaborating with cross-functional teams of data scientists, bench biologists, and clinical colleagues to drive our neuroscience biomarker and translational strategies.

Primary responsibilities:

  • Support data analytics projects to drive precision biomarker discovery, inform translational strategies, and enable data-driven decision-making of multiple Neuroscience drug discovery programs.

  • Help formulate and drive integrative analysis of biofluid proteomics data with other omics data modalities and across multiple patient cohorts to contextualize biofluid biomarker dynamics, and map biomarkers to target biology, disease mechanisms, and patient subpopulations in neurodegenerative diseases and pain.

  • Collaborate with AI/ML scientists to develop and incorporate new methodologies into existing frameworks to enhance integrative data analysis capabilities.

  • Collaborate with data generation, analytics and IT teams to build platforms for data sharing and knowledge dissemination.

  • Work with experimental biologists, functional area experts, and clinical scientists to support drug discovery and development programs at various stages.

  • Provide data science / computational biology input into research strategy, experimental design, provide data analytical input, and assist in interpreting results from both in-vitro and in-vivo studies.

  • Communicate data analytic results effectively to project teams, key stakeholders, as well as the wider scientific community through written and verbal means, including proposals for further experiments, presentations at internal and external meetings, and publications in leading journals.

Required Qualifications:

  • PhD in Data Science, Computational Biology, Computer Science, Neuroscience, Bioinformatics, Biostatistics, Biophysics, Genetics/Genomics, or a STEM related discipline, preferably with 3+ years of experience in integrative multimodal data analytics.

  • Demonstrated experience in developing novel and integrative analytic approaches to converting data into actionable insights.

  • Outstanding scientific caliber with strong capabilities to identify key analytic questions and formulate rigorous data analytic plans to address critical scientific needs of drug discovery programs.

  • Familiarity with integrative multi-omics analysis approaches, especially biofluid proteomics.

  • Familiarity with public databases, repositories, and consortia for neurological disease research, especially those include biofluid proteomics data (e.g., BioFINDER, ADNI, PPMI, UKBB).

  • Proficient in one or more programming languages (e.g., Python, R), HPC environments and/or cloud-based platforms, as well as version control systems (e.g., Github).

  • Ability to critically evaluate and apply novel data analysis methods.

  • Strong problem-solving skills, self-motivated, attention to detail, and ability to handle multiple projects.

  • Experience to conduct research in a collaborative environment and excellent ability to communicate scientific questions, methodologies, findings and insights.

  • Track record of contributions to peer-reviewed publications in the field of data science or computational biology.

Preferred Qualifications:

  • Prior experience in driving pipeline decisions through data analytics in industry settings.

  • Extensive experience in QC and analysis of data generated with various proteomics platforms (Olink/SomaScan/LC-MS/Seer).

  • Working knowledge of leveraging knowledge graphs for data integration.

#EligibleforERP

Required Skills:

Alzheimer's Disease, Biological Research, Biomarker Identification, Biomarkers, Collaborative Research, Computational Biology, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Detail-Oriented, Genome, Machine Learning (ML), Neurodegenerative Diseases, Neurological Disorders, Neuroscience, Omics, Parkinson's Disease, Programming Languages, Proteomics, Self Motivation, Stakeholder Relationship Management

Preferred Skills:

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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:

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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.

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The salary range for this role is

$144,800.00 - $227,900.00

This 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:

Regular

Relocation:

Domestic

VISA Sponsorship:

Yes

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

06/10/2026

*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.