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Biotech Data Science Remote Jobs (NOW HIRING)

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology fields. Fullpower's B2B PaaS customers are in medical solutions, remote ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... Ensure all data science solution development and deployment activities comply with applicable ...

Koniag, Inc.

Data Scientist (Remote)

Nashville, TN · On-site +1

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... Ensure all data science solution development and deployment activities comply with applicable ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... Ensure all data science solution development and deployment activities comply with applicable ...

Overstory

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... fire science and remote sensing fundamentals. This is a great opportunity for someone who is ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

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Biotech Data Science Remote information

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$41.5K

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

As of Aug 25, 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 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.

What are the key skills and qualifications needed to thrive as a biotech data scientist in a remote role?

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.
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Biotech Data Science Remote jobs near you
Infographic showing various Biotech Data Science Remote job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Snowflake Solution Architect (Life Sciences / Biotech Data Platforms)

Inficare Technologies

Remote

Full-time

Re-posted 15 days ago

Job description

Snowflake Solution Architect (Life Sciences / Biotech Data Platforms)
Location: Remote (EST time zone)
Position type: Contract
What are we looking for?
We are seeking a highly experienced Snowflake Solution Architect to design and deliver scalable, cloud-native data platforms supporting commercial, clinical, and enterprise data domains within life sciences organizations. This role will focus on building modern data ecosystems that integrate diverse data sources into governed, analytics-ready environments that enable reporting, advanced analytics, and AI/ML use cases.
The ideal candidate brings deep expertise in Snowflake and modern data architectures, along with hands-on experience designing and implementing data warehouse solutions in regulated environments. This individual will work closely with business stakeholders, data engineers, and analytics teams to translate complex requirements into performant, scalable, and maintainable solutions.
Key Responsibilities
• Architect and implement scalable data warehouse solutions using Snowflake
• Design end-to-end data architectures including ingestion, transformation, storage, and consumption layers
• Develop and optimize data models (dimensional and normalized) to support analytics and reporting use cases
• Lead integration of multiple data sources including commercial, clinical, and third-party vendor data
• Define and implement ETL/ELT pipelines using modern tooling (e.g., DBT, Azure Data Factory, Databricks)
• Establish data governance, security, and data quality frameworks aligned with regulatory requirements
• Optimize Snowflake performance, cost management, and workload scaling strategies
• Collaborate with stakeholders to define data strategy, architecture roadmaps, and platform evolution
• Support downstream analytics, BI (e.g., Power BI), and data science initiatives
• Provide technical leadership and mentorship to data engineering teams
Required Qualifications
• 10+ years of experience in data architecture, data warehousing, or data engineering
• Experience in life sciences, biotech, or healthcare data (commercial, clinical, RWD, etc.)
• 3+ years of hands-on experience with Snowflake in a solution architecture role
• Strong expertise in SQL and data modeling (dimensional modeling, data vault, etc.)
• Experience designing and implementing cloud-based data platforms (Azure preferred, AWS acceptable)
• Hands-on experience with modern data stack tools (DBT, Databricks, MuleSoft, etc.)
• Experience integrating complex datasets (e.g., transactional, third-party, semi-structured data)
• Strong understanding of data governance, data quality, and security best practices
• Excellent communication skills with ability to interface between business and technical teams
Preferred Qualifications
• Familiarity with HCP/HCO, claims, Rx, or clinical trial datasets
• Experience with MDM solutions and customer data integration
• Knowledge of regulatory considerations (e.g., GxP, HIPAA)
• Snowflake certifications (e.g., SnowPro Core or Advanced)

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