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Biotech Data Science Remote Jobs (NOW HIRING)

Cigna

Data Science Director - Remote

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · On-site +1

... Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the creation of business insights using mathematical ...

Cigna

Data Science Director - Remote

New York, NY · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · Remote

... Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the creation of business insights using mathematical ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI, Machine Learning, and Operations Research models that transform business objectives into data-driven ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred * Must be a U.S. Citizen

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting ... Master's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Artificial ...

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

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How much do biotech data science remote jobs pay per year?

As of Jul 15, 2026, the average yearly pay for biotech data science remote in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biotech Data Scientist in a remote role, and why are they important?

To thrive as a Biotech Data Scientist in a remote role, you need a strong background in biology or biotechnology, advanced data analysis skills, and proficiency in programming languages like Python or R, often supported by a relevant degree. Familiarity with bioinformatics tools, machine learning frameworks, and cloud-based collaboration platforms is typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for effective remote teamwork and project delivery. These competencies ensure accurate data-driven insights, seamless remote collaboration, and impactful contributions to biotech research and innovation.

What are some common challenges faced by remote biotech data scientists, and how can they be addressed?

Remote biotech data scientists often encounter challenges related to cross-disciplinary collaboration and data accessibility, as projects frequently require input from wet lab scientists, clinicians, and IT specialists. Effective communication tools, regular virtual meetings, and clear project management protocols can help bridge these gaps. Additionally, ensuring secure and reliable access to large and sensitive datasets is essential, so familiarity with cloud platforms and data governance best practices is beneficial for success in this role.

What is a remote biotech data scientist?

A remote biotech data scientist is a professional who applies data analysis, machine learning, and statistical methods to biological and biomedical data while working from a location outside of a traditional office. They help interpret complex datasets from experiments, clinical trials, or genomics to aid in research, drug development, and healthcare innovation. Their work involves programming, data visualization, and collaborating with cross-functional teams, all done virtually. Remote biotech data scientists typically use tools like Python, R, and specialized bioinformatics software to analyze data and generate insights.
More about Biotech Data Science Remote jobs
What cities are hiring for Biotech Data Science Remote jobs? Cities with the most Biotech Data Science Remote job openings:
What are the most commonly searched types of Biotech Data Science jobs? The most popular types of Biotech Data Science jobs are:
What states have the most Biotech Data Science Remote jobs? States with the most job openings for Biotech Data Science Remote jobs include:
What job categories do people searching Biotech Data Science Remote jobs look for? The top searched job categories for Biotech Data Science Remote jobs are:
Biotech Data Science Remote jobs near you
Infographic showing various Biotech Data Science Remote job openings in the United States as of July 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Data Science Director - Remote

Data Science Director - Remote

Cigna

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 235 frontline employees who took The Breakroom Quiz

39th of 885 rated healthcare providers

Job description

Help shape how healthcare risk decisions are made.
At The Cigna Group, pricing and underwriting decisions rely on data-driven insights that are accurate, explainable, and operationally reliable. As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting accuracy, and underwriting effectiveness. This is an opportunity to combine technical excellence, strategic leadership, and business partnership to deliver meaningful outcomes across a complex healthcare environment.
Responsibilities
  • Lead the strategy, development, enhancement, and support of machine learning models that enable pricing, underwriting, risk scoring, presale, and renewal decision-making.
  • Establish and continuously improve model lifecycle practices, including development, validation, monitoring, documentation, governance, release management, and model refresh processes.
  • Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics.
  • Drive execution across multiple model products by prioritizing work, managing delivery plans, coordinating releases, and ensuring reliable production support.
  • Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and governance teams to embed model outputs into business processes and decision frameworks.
  • Translate complex analytical concepts into clear business insights, helping stakeholders understand model performance, limitations, opportunities, and risks.
  • Ensure compliance with model governance, audit, documentation, and monitoring requirements while maintaining high standards for quality and operational reliability.
  • Build and develop a high-performing data science organization through coaching, talent development, collaboration, accountability, and continuous improvement.

Required Qualifications
  • 10+ years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative field.
  • 5+ years of experience leading and developing technical teams responsible for production-grade analytics or machine learning solutions.
  • Strong expertise in machine learning, statistical modeling, model monitoring, validation, and explainability techniques.
  • Hands-on experience with Python, SQL, Git, and modern analytics development practices.
  • Experience managing model lifecycle processes, including governance, documentation, monitoring, testing, and production support.
  • Demonstrated ability to influence senior business and technical stakeholders and translate complex analytical findings into actionable business decisions.

Preferred Qualifications
  • Experience with healthcare payer data, claims analytics, pricing, underwriting, risk adjustment, actuarial analytics, or other risk-focused domains.
  • Experience with Databricks, Spark, cloud-based analytics platforms, or large-scale data environments.
  • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Actuarial Science, or a related quantitative discipline.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 178,500 - 297,500 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus and long term incentive plan.
At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

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