Senior Data Scientist – Neuroscience Spatial Multi-omics
Cambridge, Massachusetts, United States · Hybrid
$145k–$228k/yr
Mid levelVisa sponsorship
Job Description Our Company’s Data, AI & Genome Sciences Department in Cambridge, MA is seeking a Senior Specialist (Senior Scientist), Data Science to join the Translational Neuroscience Analytics team and drive integra…
Skills: Alzheimer's Disease, Computational Biology, Data Science, Machine Learning, MultiModal AI
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Cambridge, Massachusetts, United States · Remote Solely
$140k–$200k/yr
Senior
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Software Engineer, Data Infrastructure & Acquisition - Cambridge, MA, USA
Cambridge, Massachusetts, United States · Remote Solely
$140k–$200k/yr
Senior
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Cambridge, Massachusetts, United States · Remote Solely
$140k–$200k/yr
Senior
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$145k–$228k/yr
Full-time
postgraduate degree
Medical Insurance, Dental Insurance, Vision Healthcare, 401(k), Paid Holidays, Vacation
Visa sponsorship available
Posted 78d ago
Apply by Jul 10
~40 hrs/week
Responsibilities
Drive integrative analysis of spatial and single-nucleus multi-omics data to understand target pathway biology in neurodegenerative diseases. Develop analytic workflows and predictive frameworks to evaluate therapeutic hypotheses and discover precision biomarkers.
Requirements
Requires a PhD in a STEM field (Data Science, Computational Biology, etc.) or an MS with 5+ years of experience. Must have deep expertise in single-cell/spatial transcriptomics and advanced AI/ML models like transformers.
Full job description
Job Description
Our Company’s Data, AI & Genome Sciences Department in Cambridge, MA is seeking a Senior Specialist (Senior Scientist), Data Science to join the Translational Neuroscience Analytics team and drive integrative analysis of spatial and single-nucleus multi-omics data from patients with neurodegenerative diseases. The qualified individual will be a motivated data scientist or computational biologist with a track record of developing and applying cutting-edge AI/ML methodologies to extract actionable insights from single-nucleus and spatial multi-omics data. In this role, they will leverage spatially resolved transcriptomics data with single-cell resolution to understand target pathway biology in relation to pathological hallmarks of neurodegenerative diseases, especially Alzheimer’s disease, and integrate this information with single-nucleus multi-omics data from large patient cohorts to enable causal modeling and prediction of target perturbation effects across cell populations of interest. Through these analyses, they will contribute to the evaluation of specific therapeutic hypotheses as well as the identification and placement of biomarkers along the causal cascade from therapeutic target to clinical outcome, ultimately shaping the translational strategies of our neurodegenerative therapeutic programs. They will work alongside with other data scientists and AI/ML scientists in the department to develop and apply innovative approaches to perform such analyses and further integration with clinical, genetic, and other omics data types. 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:
Build and deploy analytic workflows leveraging state-of-art computational methods to analyze spatial multi-omics datasets, with a specific focus on target MOA evaluation and biomarker discovery in neurodegenerative diseases.
Formulate and drive integration of spatial and single-nucleus multi-omics data to build unified predictive framework capturing the interactions among different CNS cell types (e.g., neurons and microglia).
Lead data analytic projects to evaluate therapeutic hypothesis, drive precision biomarker discovery, inform translational strategies, and enable data-driven decision-making of multiple neuroscience drug discovery programs.
Collaborate with internal AI/ML teams to develop and incorporate new methodologies into existing frameworks to enhance data analysis capabilities.
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 in 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, Genetics/Genomics, Biophysics, Bioinformatics, Statistics, Neuroscience, Neurology, or a related STEM discipline and 0+ years of experience, or an MS and 5+ years of experience.
Deep understanding of computational methodologies for single-cell and spatial transcriptomics analysis and extensive experience in their applications, preferably in neurological disorders.
Extensive experience in analyzing spatial transcriptomics data with single/sub-cell resolution (e.g., CosMx, Visium HD).
Demonstrated expertise in leveraging advanced AI/ML models (e.g., transformers, foundation models) and in silico perturbation simulation.
Ability to critically evaluate and apply novel data analysis methods in translational applications.
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).
Strong problem-solving skills, self-motivated, attention to detail, and ability to handle multiple projects.
Extensive experience to conduct research in a collaborative environment and excellent ability to communicate scientific questions, methodologies, findings and insights.
Proven track record (e.g., peer-reviewed publications) of extracting actionable insights from analysis of spatial/single-cell omics data.
Preferred Qualifications:
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.
Good understanding of neurobiology, particularly neurodegenerative diseases.
Familiarity with large public single-nucleus multi-omics datasets from neurodegenerative disease patient cohorts (e.g, ROSMAP, SEA-AD).
Additional 2+ years of multi-omics data analytics experience post final degree is preferred.
#EligibleforERP
Required Skills:
Alzheimer's Disease, Computational Biology, Computer Science, Cross-Team Collaboration, Database Design, Data-Driven Decision Making, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), MultiModal AI, Neurodegenerative Diseases, Neuroscience, Omics, Programming Languages, Single Cell Analysis, Single-Cell Genomics, Spatial Data Analysis, Stakeholder Relationship Management, Teamwork, Transcriptomics
Preferred Skills:
Foundation Model Fine Tuning, Foundation Models, Transformer Model
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:
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.
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:
07/10/2026
*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.
At MSD, known as Merck & Co., Inc., Rahway, NJ, USA in the United States and Canada, we are unified around our purpose: We use the power of leading-edge science to save and improve lives around the world. For more than 130 years, we have brought hope to humanity through the development of important medicines and vaccines. We aspire to be the premier research-intensive biopharmaceutical company in the world – and today, we are at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. We foster a diverse and inclusive global workforce and operate responsibly every day to enable a safe, sustainable and healthy future for all people and communities. For more information, visit www.msd.com and connect with us on Facebook, Instagram, Twitter, and YouTube.
Offices: 90 E Scott Ave, Rahway, New Jersey 07065, US · 2000 Galloping Hill Road, Kenilworth, NJ 07033, US · Jalan Puteri 5/20, Puchong, Selangor 47100, MY · Clos du Lynx 5, Woluwe-Saint-Lambert, Brussels Region 1200, BE · Keilaranta 3, Espoo, Southern Finland 02150, FI
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How much do Engineering jobs in Cambridge, MA pay?
Based on 627 listings with disclosed salaries, most engineering jobs in Cambridge, MA pay between $82k–$240k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in Cambridge, MA right now?
There are currently 786 open engineering positions in Cambridge, MA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Cambridge, MA?
Companies currently hiring include Draper, Akamai Technologies, Lila Sciences, Flagship Pioneering, Novartis, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Cambridge, MA?
Yes — 237 of the 786 open engineering positions offer remote or hybrid work (65 remote, 172 hybrid).
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