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Biotech Data Science Jobs in New York (NOW HIRING)

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Partner with Clinical, Translational Research, Biomarkers, Nonclinical Safety, and Data Science ...

Legend Biotech is seeking a Sr. Principal/Principal Scientist as part of the Research & Early ... Partner with Clinical, Translational Research, Biomarkers, Nonclinical Safety, and Data Science ...

Principal Data Scientist

New York, NY · On-site

$204K - $267K/yr

Lead and execute complex data science projects that directly advance our drug development portfolio ... biotech, pharma, consulting) * Strong programming skills, particularly in Python * Extensive ...

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

Lead and execute complex data science projects that directly advance our drug development portfolio ... biotech, pharma, consulting) * Strong programming skills, particularly in Python * Extensive ...

Data Scientist

Manhattan, NY · On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... NYP will not reimburse for travel expenses. * 2026 Best Companies in Healthcare, Biotech & Pharma ...

Senior Data Scientist

New York, NY · On-site

$177K - $232K/yr

Lead and execute complex data science projects that directly advance our drug development portfolio ... biotech, pharma, consulting) * Strong programming skills, particularly in Python * Extensive ...

Senior Data Scientist

Manhattan, NY · On-site

$177K - $232K/yr

Lead and execute complex data science projects that directly advance our drug development portfolio ... biotech, pharma, consulting) * Strong programming skills, particularly in Python * Extensive ...

Showing results 21-40

Biotech Data Science information

See New York salary details

$41K

$134.3K

$215K

How much do biotech data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for biotech data science in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 per year, depending on experience, location, and employer.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What is a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the most commonly searched types of Biotech Data Science jobs in New York?

The most popular types of Biotech Data Science jobs in New York are:

What cities in New York are hiring for Biotech Data Science jobs?

Cities in New York with the most Biotech Data Science job openings:

Infographic showing various Biotech Data Science job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Associate Director, Data Science & AI Solutions

Merck & Co.

Rahway, NJ • On-site

$157 - $247/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 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 Description

The mission of the Analytics & Technology Systems QA group is to provide the foundation to identify, explore, and efficiently develop solutions to enhance our quality oversight activities.

Under the direction of the Senior Director, Analytics & Technology Systems of our Research & Development Division QA, we are seeking an Associate Director, Data Science & AI Solutions, to join our R&D Quality Assurance Analytics & Tech Systems team. In this role, you will bridge the gap between hands‑on advanced software development and strategic business partnership. You will lead the design, deployment, and long‑term lifecycle of our next‑generation AI and data science solutions-ranging from traditional machine learning and simulations to custom generative AI applications (such as RAG and agentic workflows).

As a technical and strategic leader, you will collaborate with business stakeholders to identify high‑value opportunities, translate complex technical concepts for different audiences, and partner with governance bodies to ensure all advanced analytics tools are robust, compliant, and scalable.

Key Responsibilities1. AI Development & System Lifecycle
  • Technical Delivery: Build, deploy, and maintain advanced AI applications (including custom RAG pipelines and agentic systems) alongside traditional analytics solutions (forecasts, simulations, and optimizations) to solve critical research & development quality business challenges.
  • Environment Management: Work within enterprise analytics platforms (e.g., Dataiku, Posit Workbench) to monitor, enhance, and scale existing operational analytics systems.
2. GxP AI Governance & Compliance
  • Regulatory Alignment: Collaborate with the GxP AI Governance Program to develop frameworks that ensure AI solutions adhere to regulatory requirements, validation playbooks, and standardized monitoring protocols.
3. Business Partnership & Technical Translation
  • Translational Communication: Act as the primary technical translator, explaining complex AI algorithms, models, and limitations to non‑technical stakeholders and leadership in a clear, business‑friendly manner.
  • Demand Intake: Collaborate with business leaders to identify operational challenges and propose high‑value data science and AI use cases.
  • Business Acumen: Demonstrates a strong willingness to learn and understand business processes, priorities, and stakeholder's needs to drive meaningful outcomes.
4. Leadership & Upskilling
  • Team Mentorship: Educate and upskill QA team members on modern tech stacks, Large Language Models (LLMs), and general data literacy.
  • External Representation: Represent our company in cross‑functional forums, such as IMPALA (Intercompany Quality Analytics).
Required Qualifications
  • Educations/Experience: BS/BA degree in relevant area and 5+ years of experience in the pharmaceutical, biotech or technology related industry.
  • Analytical & Programming Core: Minimum 5 years of professional experience using Python, R, and advanced SQL to design and deploy machine learning, forecasting, or optimization models.
  • Modern AI Engineering: Hands‑on experience developing custom RAG architectures, working with LLM APIs, and utilizing core MLOps practices (version control/Git, monitoring, and model maintenance).
  • Data Engineering & Visualization: Proficiency in designing user‑friendly dashboards (PowerBI or Spotfire) and a foundational understanding of Extract, Transform, Load (ETL) pipelines and data structures.
  • Cloud & Architecture: Familiarity with hosting and deploying AI solutions or agentic pipelines in cloud environments (AWS, Azure, or GCP).
  • Regulated Industry Experience: Prior experience in a regulated pharmaceutical (GxP) environment, with exposure to software validation or AI governance frameworks.
  • Communication & Influence: Exceptional communication skills with a proven ability to distill complex technical terminology into actionable insights for non‑technical business partners.
  • Global Collaboration: Experience working with and supporting different, cross‑functional teams in a global, matrixed organization.
  • Passionate Learner: Continuously explores emerging technologies, including generative AI, and identifies opportunities to apply them to drive innovation and business value.
Required Skills

AI Programming, Audience View, Biopharmaceutical Industry, Business Acumen, Business Intelligence (BI), Business Processes, Business Process Modeling, Database Design, Data Engineering, Data Literacy, Data Modeling, Data Science, Data Visualization, Extract Transform Load (ETL), Generative AI, Git Version Control System, Large Language Models (LLMs), Machine Learning (ML), Python (Programming Language), Software Development, Stakeholder Relationship Management, Version Control

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.

Equal Employment Opportunity

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

Salary Range

$156,900.00 - $247,000.00

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.

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.
Location and Employment Conditions

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

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: No relocation

VISA Sponsorship: No

Travel Requirements: No Travel Required

Flexible Work Arrangements: Hybrid

Shift: 1st - Day

Valid Driving License: No

Hazardous Material(s): N/A

Job Posting End Date: 08/19/2026

*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: R410854

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