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Home Based Biotech Data Analyst Jobs (NOW HIRING)

Biolog

Data Analyst

Newark, DE · On-site

$26 - $29/hr

... biotech, pharma, food safety, and more. With three specialized sites across California and Delaware ... based in a laboratory and office environment and requires regular interaction with scientific data ...

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Employment may be extended based on business needs and performance but is not guaranteed. We are ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Natera

OR · On-site

$114K - $137K/yr

... or biotech data ecosystems to design, build, and maintain data products supporting patient ... This role will partner closely with analytics, product, clinical, and business teams to ensure high ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Employment may be extended based on business needs and performance but is not guaranteed. We are ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

GTT, LLC

Junior Data Analyst

Framingham, MA · Hybrid

$36 - $43/hr

... apparel and home fashion retailer in the U.S. and worldwide. With over 4,500 stores in nine ... biotech, utility, and retail companies across the US and Canada. We look forward to helping you ...

Brinks Home

Data Analyst

Farmers Branch, TX · On-site

Prepare analysis report for management heads to understand the data- analysis steps. Includingan ... Brinks Home recognizes the value of benefits for you and your family, so we offer a comprehensive ...

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 ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

EchoStar

Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

Job Duties and Responsibilities As a Data Analyst within the In-Home Services Command Center, you ... Individual total compensation will vary based on factors such as qualifications, skill level, and ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and ... Job Summary LP Analyst is seeking a detail-oriented and technically motivated Data Analyst to join ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

Company Overview LP Analyst is a leading independent private asset cloud-based analytics and ... Job Summary LP Analyst is seeking a detail-oriented and technically motivated Data Analyst to join ...

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All JobsHome Based Biotech Data Analyst Jobs

Home Based Biotech Data Analyst information

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$34K

$82.6K

$136K

How much do home based biotech data analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for home based 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 is a Home Based Biotech Data Analyst?

A Home Based Biotech Data Analyst is a professional who works remotely to collect, process, and analyze data related to biotechnology. They interpret biological datasets, such as genomic sequences or clinical trial results, using statistical and computational tools. Their work supports research, product development, and decision-making in the biotech industry. Working from home, they typically use specialized software to collaborate with research teams and communicate findings to stakeholders.

How does a home-based Biotech Data Analyst typically collaborate with laboratory teams and researchers?

As a home-based Biotech Data Analyst, you will frequently collaborate with laboratory teams and researchers through virtual meetings, shared digital workspaces, and cloud-based data platforms. Clear communication is essential, as you'll need to interpret experimental data, provide statistical analysis, and generate reports that support ongoing research projects. Regular check-ins and project management tools help ensure alignment with lab goals, while remote access to databases and analytical software allows you to contribute effectively despite being offsite.

What are the key skills and qualifications needed to thrive as a Home Based Biotech Data Analyst, and why are they important?

To thrive as a Home Based Biotech Data Analyst, you need strong analytical skills, a background in biological sciences or bioinformatics, and proficiency in statistical analysis. Experience with data analysis tools such as R, Python, SQL, and familiarity with laboratory information management systems (LIMS) or genomics databases are typically required. Excellent problem-solving, attention to detail, and effective communication are key soft skills for collaborating remotely and interpreting complex data. These skills and qualities are crucial for accurately analyzing biological datasets, supporting research objectives, and ensuring data-driven decisions in a remote work environment.

What is the difference between Home Based Biotech Data Analyst vs Remote Biotech Data Scientist?

AspectHome Based Biotech Data AnalystRemote Biotech Data Scientist
Required CredentialsBachelor's in Biology, Data Analysis, or related field; proficiency in data toolsMaster's or PhD in Bioinformatics, Data Science, or related field; advanced statistical skills
Work EnvironmentHome-based, independent data analysis in biotech firms or research institutionsRemote, often collaborative projects with biotech or pharmaceutical companies
Employer & Industry UsageBiotech companies, research labs, healthcare organizationsBiotech firms, pharmaceutical companies, research institutions

The main difference is that a Home Based Biotech Data Analyst typically holds a bachelor's degree and focuses on analyzing biotech data independently from home, while a Remote Biotech Data Scientist usually has advanced degrees and engages in more complex data modeling and research tasks remotely. Both roles are essential in biotech research but differ in scope and expertise level.

What cities are hiring for Home Based Biotech Data Analyst jobs? Cities with the most Home Based Biotech Data Analyst job openings:
What are the most commonly searched types of Biotech Data Analyst jobs? The most popular types of Biotech Data Analyst jobs are:
What states have the most Home Based Biotech Data Analyst jobs? States with the most job openings for Home Based Biotech Data Analyst jobs include:
Home Based Biotech Data Analyst jobs near you
Snowflake Solution Architect (Life Sciences / Biotech Data Platforms)

Snowflake Solution Architect (Life Sciences / Biotech Data Platforms)

Inficare Technologies

Remote

Full-time

This job post has expired today. Applications are no longer accepted.

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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