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Biotech Data Analyst Jobs (NOW HIRING)

Scisco Genetics

Be Seen First

Bioinformatics Scientist / Genomic Data Analyst

Seattle, WA · On-site

$95K - $115K/yr

Analyze high-throughput genomic sequence data, including whole-genome sequencing, whole-exome ... Company Description Scisco Genetics, a Seattle-based biotechnology company, specializes in next ...

Danaher

Sr Data Analyst - Commercial Sales US Remote

Fargo, ND · On-site +1

$84K - $106K/yr

... biotechnology? At Aldevron, one of Danaher's 15+ operating companies, our work saves lives-and we ... The Commercial Data, Senior Analyst is responsible for creating and maintaining commercial ...

Danaher

Sr Data Analyst - Commercial Sales US Remote

OR · On-site +1

$85K - $108K/yr

... biotechnology? At Aldevron, one of Danaher's 15+ operating companies, our work saves lives-and we ... The Commercial Data, Senior Analyst is responsible for creating and maintaining commercial ...

T Rowe Price

Biotech Associate

Baltimore, MD · Hybrid

Diverse responsibilities on the biotechnology investment team, including analyzing preclinical and clinical data across all therapeutic areas, accessing market potential, and developing financial ...

Legend Biotech USA, Inc.

Legend Biotech entered into a global collaboration agreement with Janssen, one of the ... Build and drive plans to improve data practices for operational, reporting and analysis needs ...

Legend Biotech US

Lead Data Engineer

Bridgewater, NJ · On-site

$117K - $140K/yr

Legend Biotech entered into a global collaboration agreement with Janssen, one of the ... Collaborate with data architects, data analysts and data scientists to understand their data needs ...

JetBridge

Test Automation Engineer

$47 - $62.25/hr

... biotech, data, and healthcare . You'll focus on integration, system, and end-to-end testing of ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Natera

OR

$122K - $161K/yr

Design, build, and maintain the data products that support R&D, analytics, Lab and scientific ... Bachelor's or Master's degree in computer science or bioinformatics with healthcare or biotech data ...

Legend Biotech USA, Inc.

$117K - $140K/yr

Legend Biotech entered into a global collaboration agreement with Janssen, one of the ... Collaborate with data architects, data analysts and data scientists to understand their data needs ...

Precision AQ

Senior Data and AI Analyst

New York, NY · On-site

$94K - $118K/yr

Senior Data and AI Analyst, Investor Relations Position Summary The Senior Data and AI Analyst ... advises biotechnology and healthcare companies on IR strategy in partnership with executive ...

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Biotech Data Analyst information

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$34K

$82.6K

$136K

How much do biotech data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for biotech data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are typical daily responsibilities for a Biotech Data Analyst?

A typical day for a Biotech Data Analyst involves collecting, cleaning, and analyzing large datasets from biological experiments or laboratory studies. You may use statistical and data visualization tools to identify trends, interpret results, and prepare reports or presentations for scientific and cross-functional teams. Collaboration with researchers, laboratory staff, and software engineers is common to ensure the data supports ongoing projects and regulatory requirements. Additionally, you may stay current on advances in analytical methods to improve workflows and contribute to innovative research initiatives.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Biotech Data Analyst position, and why are they important?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

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Biotech Data Analyst jobs near you
Senior People Systems and Data Analyst

Senior People Systems and Data Analyst

Freenome

Brisbane, CA • On-site

$120K - $170K/yr

Full-time

Posted 24 days ago

Job description

About this opportunity:
Freenome is seeking a highly analytical and systems-savvy Senior People Systems and Data Analyst to elevate our People data capabilities and drive insight-led decision-making. This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organizational planning strategies. This individual will transform People data into actionable insights through advanced analytics, scalable dashboards, and strong data storytelling. While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.
The role reports to the Director, People Operations. This role will be a Hybrid role.
What you'll do:
  • Develop, analyze, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement.
  • Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers).
  • Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions.
  • Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations.
  • Design, build, and maintain scalable and automated dashboards.
  • Establish consistent KPI definitions and reporting standards.
  • Improve data visualization practices to ensure clarity, usability, and impact.
  • Replace manual reporting processes with automated, real-time reporting solutions.
  • Ensure high levels of data accuracy, integrity, and trust.
  • Serve as primary People data and HRIS reporting expert.
  • Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows.
  • Manage data governance standards to ensure compliance and data privacy best practices.
  • Identify process improvements that enhance efficiency, data structure and accessibility.
  • Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems.
  • Champion system education to drive employee and manager self-service adoption and data and systems utilization.
  • Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.

Must haves:
  • Bachelor's degree in Statistics, Data Science, Business Analytics, HR, Economics, or related field.
  • 5-7 years of experience in People Analytics, Workforce Analytics, HRIS Analytics, or related analytical roles.
  • Prior experience modifying, improving and/or implementing People systems (Greenhouse, Paylocity a bonus).
  • Advanced proficiency in data visualization tools (Tableau, Power BI, Looker, or similar).
  • Strong experience building executive dashboards from the ground up.
  • Knowledge of data, statistical, and predictive analysis.
  • Advanced Excel/Google Sheets skills.
  • Experience working with large, complex datasets.
  • Demonstrated ability to translate data into clear business insights and recommendations.
  • Strong understanding of core People processes (recruiting, compensation, performance, engagement, workforce planning).
  • Excellent verbal and written communication skills.
  • Strong analytical and problem-solving skills.
  • Passion for driving continuous improvement simplifying workflows, implementing automation, and driving self-service.
  • Demonstrated interest in leveraging AI to enhance systems and analytics.

Nice to haves:
  • Experience in a high-growth biotech or startup environment, with exposure to IPO preparation, public company reporting requirements, or SOX-compliant processes.
  • Familiarity with Greenhouse, Paylocity, or other HRIS/ATS platforms.
  • Exposure to predictive analytics or basic modeling techniques.
  • SHRM-CP or SHRM-SCP certification.

Benefits and additional information:
The US target range of our base salary for new hires is $120,275 - $170,100. 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)

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