ZipRecruiter

Log In

1

Biotech Data Sales Jobs (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

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 ...

next page

Showing results 1-20

All JobsBiotech Data Sales Jobs

Biotech Data Sales information

See salary details

$21

$33

$51

How much do biotech data sales jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for biotech data sales in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.31 per hour, depending on experience, location, and employer.

What is biotech data sales?

Biotech data sales involve selling data products and services related to biotechnology, such as genomic information, clinical trial results, or research analytics, to clients like pharmaceutical companies, research institutions, and healthcare providers. Professionals in this role identify potential customers, understand their data needs, and demonstrate how biotech data can drive innovation or improve decision-making. The sales process often includes negotiating contracts, ensuring data compliance, and providing ongoing customer support. Success in biotech data sales requires knowledge of both biotechnology concepts and data management, as well as strong communication and sales skills.

How does a Biotech Data Sales professional typically collaborate with scientific and technical teams to understand client needs?

Biotech Data Sales professionals often work closely with scientific and technical teams to fully understand the capabilities and applications of company data products. This collaboration helps ensure that sales pitches are tailored to the specific needs of clients, who are often researchers or decision-makers in the life sciences. By attending team meetings, participating in product training sessions, and consulting with subject matter experts, sales professionals can effectively communicate complex data solutions and address technical questions from clients. This cross-functional teamwork is key to building trust and closing deals in the highly specialized biotech sector.

What are the key skills and qualifications needed to thrive as a Biotech Data Sales professional, and why are they important?

To thrive in Biotech Data Sales, you need a solid understanding of both biotechnology concepts and data analytics, often backed by a degree in life sciences or a related field and experience in sales. Familiarity with CRM platforms like Salesforce, data visualization tools, and industry-specific databases is typically required. Excellent communication, negotiation, and relationship-building skills help professionals stand out in this client-focused role. These skills and qualifications are crucial for effectively conveying complex data solutions, building trust with clients, and driving sales in a competitive and technical market.

What is the difference between Biotech Data Sales vs Biotech Sales Representative?

AspectBiotech Data SalesBiotech Sales Representative
Primary FocusSelling biotech data products and analytics to clientsPromoting and selling biotech products or services
Required SkillsData analysis, technical knowledge, sales skillsProduct knowledge, customer relationship skills
Work EnvironmentOffice-based, client meetings, data-drivenField and office, client visits, product demonstrations
Industry UsageCommon in biotech data firms, analytics companies

Biotech Data Sales professionals focus on selling biotech data and analytics solutions, requiring technical and data skills. In contrast, Biotech Sales Representatives primarily promote biotech products or services, emphasizing product knowledge and customer interaction. Both roles are vital in the biotech industry but differ in their core responsibilities and skill sets.

More about Biotech Data Sales jobs
What cities are hiring for Biotech Data Sales jobs? Cities with the most Biotech Data Sales job openings:
What states have the most Biotech Data Sales jobs? States with the most job openings for Biotech Data Sales jobs include:
What job categories do people searching Biotech Data Sales jobs look for? The top searched job categories for Biotech Data Sales jobs are:
Biotech Data Sales jobs near you
Infographic showing various Biotech Data Sales job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

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

Apply