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Biotech Software Jobs (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

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 ...

Ohalo

Biotech Program Manager

South San Francisco, CA

$160K - $210K/yr

Biotech Program Manager Location: South San Francisco Type: Full-time Ohalo is hiring a Biotech ... software systems, ensuring dependencies and critical paths are explicit and managed. * Define ...

Ohalo

Biotech Program Manager

South San Francisco, CA · On-site

$160K - $210K/yr

Biotech Program Manager Location: South San Francisco Type: Full-time Ohalo is hiring a Biotech ... software systems, ensuring dependencies and critical paths are explicit and managed. * Define ...

ZEISS

Biotech/Pharma Key Account Manager

Continuously develop broad knowledge across the ZEISS microscopy portfolio, including product capabilities, applications, and software functionality. * Build strong understanding of biotech and ...

Prism Biotech

Staff Accountant

King Of Prussia, PA · On-site

$53K - $70K/yr

Prism Biotech is looking for a staff accountant to join our team in our King of Prussia office ... Familiarity with accounting software is preferred. * Proficiency in the Microsoft Office Suite ...

Prism Biotech

Staff Accountant

King Of Prussia, PA · On-site

$54K - $72K/yr

Prism Biotech is looking for a staff accountant to join our team in our King of Prussia office ... Familiarity with accounting software preferred * Proficiency in Microsoft Office Suite, especially ...

PBS Biotech

Field Service Engineer II

Camarillo, CA · On-site

$74K - $116K/yr

PBS Biotech is looking for a Field Service Engineer to join our growing Commercial team in ... software components, and documenting services accurately while maintaining proper care and ...

PBS Biotech

Field Service Engineer II

Camarillo, CA · On-site

$74K - $116K/yr

PBS Biotech is looking for a Field Service Engineer to join our growing Commercial team in ... software components, and documenting services accurately while maintaining proper care and ...

Pharmaron

Software Validation Senior Associate

Exton, PA · On-site

$75K - $85K/yr

... biotech companies bring new therapies to life. With over 25,000 employees worldwide across 28 ... As a Software Validation Senior Associate, you'll lead and support Computerized Systems Validation ...

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Showing results 21-40

All JobsBiotech Software Jobs

Biotech Software information

See salary details

$48K

$111.8K

$166K

How much do biotech software jobs pay per year?

As of Sep 13, 2026, the average yearly pay for biotech software in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is biotech software?

Biotech software refers to computer programs and platforms designed specifically to support research, development, and operations in the biotechnology industry. These tools can help with tasks such as DNA sequencing, data analysis, laboratory management, and simulation of biological processes. Biotech software enables scientists and organizations to manage large datasets, automate experiments, and accelerate discoveries in areas like genetics, pharmaceuticals, and medical diagnostics. The software is crucial for improving accuracy, efficiency, and compliance in biotech workflows.

How does a biotech software professional typically collaborate with scientists and laboratory staff?

Biotech Software professionals frequently work alongside scientists, researchers, and laboratory staff to develop, customize, and maintain software tools that support experimental workflows and data analysis. Regular communication is essential to ensure that software solutions meet the specific needs of biological research, from managing large datasets to automating laboratory processes. This collaboration often involves requirements gathering, user training, troubleshooting, and iterative improvements based on user feedback. Building strong interdisciplinary relationships is key to delivering effective and user-friendly software in the biotech environment.

What are the key skills and qualifications needed to thrive as a biotech software engineer, and why are they important?

To thrive as a Biotech Software Engineer, you need a strong background in computer science, bioinformatics, or related fields, often supported by a relevant degree and experience in software development for biological or healthcare applications. Familiarity with programming languages such as Python or R, databases, cloud platforms, and tools like BLAST or Genome Analysis Toolkit (GATK) is typically required. Excellent problem-solving ability, teamwork, and clear communication help professionals integrate complex biological data and collaborate with interdisciplinary teams. These skills are crucial for developing robust software solutions that enable scientific discovery and advance biotechnology research.

What is the difference between Biotech Software vs Laboratory Technician?

AspectBiotech SoftwareLaboratory Technician
Required CredentialsDegree in biotech, computer science, or related field; knowledge of biotech software toolsAssociate's or Bachelor's in laboratory sciences; technical certifications often preferred
Work EnvironmentOffice or lab setting focused on software development, data analysis, and biotech applicationsHands-on lab environment performing experiments and sample analysis
Employer & Industry UsageBiotech companies, software firms, research institutionsResearch labs, hospitals, biotech manufacturing facilities

Biotech Software professionals focus on developing, implementing, and maintaining software solutions for biotech research and development, while Laboratory Technicians perform hands-on lab work to conduct experiments and analyze samples. Both roles are essential in the biotech industry but differ in skills, environment, and daily tasks.

More about Biotech Software jobs

What cities are hiring for Biotech Software jobs?

Cities with the most Biotech Software job openings:

What states have the most Biotech Software jobs?

States with the most job openings for Biotech Software jobs include:

What are popular job titles for Biotech Software?

Popular job titles for Biotech Software:

Biotech Software jobs near you
Infographic showing various Biotech Software job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

BioTech Data Engineer

Saint Louis, MO • On-site

Stellar IT Group
See more jobs at Stellar IT Groupexternal

$111K - $133K/yr

Full-time

Re-posted 12 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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