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From Home Biotech Data Science Jobs (NOW HIRING)

Formation Bio

Director, Data Science

Boston, NY · On-site

$235K - $307K/yr

... from developing sophisticated models for patient selection to creating AI-powered solutions for ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

Valtech

Data Science Consultant

Plano, TX · Hybrid

$153K/yr

Valtech Solutions - Plano, TX needs a Data Science Consultant to refactor, optimize and automate ... Telecommuting and working from home permitted. Salary $153,160/yr. Send resumes to nam.recruitment ...

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research ... sciences (biotech, pharma, consulting) * Strong programming skills, particularly in Python

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All JobsBiotech Data Science JobsFrom Home Biotech Data Science Jobs

From Home Biotech Data Science information

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$37.5K

$122.7K

$196.5K

How much do from home biotech data science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for from home biotech data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Biotech Data Science vs From Home Biotech Bioinformatics Specialist?

AspectFrom Home Biotech Data ScienceFrom Home Biotech Bioinformatics Specialist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fieldsBachelor's or Master's in Bioinformatics, Computational Biology, or related fields
Work EnvironmentRemote, collaborative with data teamsRemote, often working with biological data and research teams
Industry UsageUsed across biotech, pharma, research institutionsPrimarily in biotech, research labs, and healthcare companies
Common Search/ComparisonYesYes

From Home Biotech Data Science focuses on analyzing biological data using statistical and machine learning techniques, while From Home Biotech Bioinformatics Specialist emphasizes managing and interpreting biological datasets, often involving sequence analysis and computational biology tools. Both roles are essential in biotech research but differ in their core skill sets and daily tasks.

More about From Home Biotech Data Science jobs
What cities are hiring for From Home Biotech Data Science jobs? Cities with the most From Home Biotech Data Science 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 From Home Biotech Data Science jobs? States with the most job openings for From Home Biotech Data Science jobs include:
What job categories do people searching From Home Biotech Data Science jobs look for? The top searched job categories for From Home Biotech Data Science jobs are:
From Home Biotech Data Science jobs near you
Infographic showing various From Home Biotech Data Science job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 91% Full Time, 1% Part Time, 5% Contract, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Snowflake Solution Architect (Life Sciences / Biotech Data Platforms)

Snowflake Solution Architect (Life Sciences / Biotech Data Platforms)

Inficare Technologies

Remote

Full-time

Posted 26 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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