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Home Based Biotech Data Analyst Jobs (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across ...

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 ...

Vector Resources, Inc

Data Analyst

Washington, DC · On-site

$100K - $150K/yr

... biotech, advanced semiconductors, material characterization). * Working proficiency in R for ... Familiarity with supply chain analytics, trade data (Panjiva, ImportGenius, UN Comtrade), corporate ...

Vector Resources, Inc

Data Analyst

Washington, DC · On-site

$100K - $150K/yr

... biotech, advanced semiconductors, material characterization). * Working proficiency in R for ... Familiarity with supply chain analytics, trade data (Panjiva, ImportGenius, UN Comtrade), corporate ...

CAREERS | vector

Data Analyst

Washington, DC · Hybrid

... biotech, advanced semiconductors, material characterization). * Working proficiency in R for ... Familiarity with supply chain analytics, trade data (Panjiva, ImportGenius, UN Comtrade), corporate ...

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 ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Data Analyst Job Duties Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting ...

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

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 ...

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 ...

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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 8, 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

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Posted 6 days ago

Job description

Overview:
Job Title: Biotech Data Engineer
Job Type: FTE
Work Mode: Remote
The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company's data and AI strategy. The role reports to the Director of Business Intelligence.
Roles & Responsibilities
  • Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
  • Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
  • Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
  • Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
  • Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
  • Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
  • Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
  • Execute against the company's data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
  • Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
  • Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
  • Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
  • Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
  • Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
  • Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
  • Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
  • Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
  • Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations

Education & Licenses And Experience
Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.
Required Competencies & Skills
  • Experience with Azure Cloud (Databricks, DevOps, DataFactory)
  • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing)
  • Strong hands-on python, pyspark, and SQL skills
  • Direct experience with building and leveraging API integrations in ETL pipeline development
  • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc.
  • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices
  • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities
  • Travel up to 20%

Preferred Competencies & Skills
  • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities
  • Familiarity with tools and practices in the Martech and Adtech landscape
  • Knowledge of Consumer, Patient, or HCP data ecosystems
  • Experience with identity providers like LiveRamp, Acxiom, Experian, etc.
  • Experience with custom-built or third-party Customer Data Platforms (CDP)
  • Experience with marketing automation tools

Skills:
Data Engineering

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