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Biotech Data Analyst Jobs in Raleigh, NC (NOW HIRING)

CEI

Data Engineer (Databricks, AWS)

Raleigh, NC

$70/hr

Demonstrated knowledge of ingesting, harmonizing, and modeling pharmaceutical/biotech datasets. * Ability to build scalable, high-performance data pipelines. * Strong analytical and problem-solving ...

PSC Biotech

Senior Validation Engineer

Durham, NC

... systems, and analytical instrumentation within a regulated pharmaceutical or biotechnology ... with cGMP, data integrity, and regulatory requirements. Lead and execute commissioning ...

Alliance Biotech Solutions LLC

CSV Engineer

Raleigh, NC · On-site

... data platforms, and computerized systems within pharmaceutical, biotechnology, medical device, or ... analytical, troubleshooting, communication, and cross-functional collaboration skills. Benefits ...

Alliance Biotech Solutions LLC

CSV Engineer

Raleigh, NC · On-site

... data platforms, and computerized systems within pharmaceutical, biotechnology, medical device, or ... analytical, troubleshooting, communication, and cross-functional collaboration skills. Benefits ...

Alliance Biotech Solutions LLC

QC Microbiologist

Raleigh, NC · On-site

$22 - $28.75/hr

Alliance Biotech Solutions is seeking a dedicated QC Microbiologist to support Environmental ... endotoxin analysis. This position requires a strong understanding of aseptic techniques, GMP ...

PSC Biotech

Senior Validation Engineer

Durham, NC · On-site

$120K - $140K/yr

... systems, and analytical instrumentation within a regulated pharmaceutical or biotechnology ... Thorough understanding of cGMP regulations, FDA requirements, GAMP 5, 21 CFR Part 11, and data ...

PSC Biotech

Senior Validation Engineer

Durham, NC · On-site

... systems, and analytical instrumentation within a regulated pharmaceutical or biotechnology ... Thorough understanding of cGMP regulations, FDA requirements, GAMP 5, 21 CFR Part 11, and data ...

BioAgilytix

Analyst III - Cell-based

Durham, NC · On-site

Peer review raw data * Order reagents * Participate in assay development and validation * Run ... Analyst III * Bachelor's degree in molecular biology, biochemistry, immunology, biotechnology, or ...

BioAgilytix

Analyst III - Cell-based

Durham, NC

Peer review raw data * Order reagents * Participate in assay development and validation * Run ... Analyst III * Bachelor's degree in molecular biology, biochemistry, immunology, biotechnology, or ...

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All JobsBiotech Data Analyst JobsBiotech Data Analyst Jobs in Raleigh, NC

Biotech Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do biotech data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for biotech data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a biotech data analyst in biotechnology?

A biotech data analyst in biotechnology is a professional who collects, processes, and interprets biological data to support research and development. They often use statistical tools, programming languages like R or Python, and laboratory data to identify trends, optimize processes, and inform decision-making in biotech companies or research institutions.

How to become a biotech data analyst?

To become a biotech data analyst, typically a bachelor's degree in biology, data science, statistics, or a related field is required. Developing skills in data analysis tools such as R, Python, or SQL, along with understanding biological concepts and gaining experience through internships or projects, can improve job prospects. Some roles may also require knowledge of laboratory processes or biotech software platforms.

What does a Biotech Data Analyst do?

A Biotech Data Analyst collects, processes, and interprets biological and clinical data to support research and decision-making in biotechnology and healthcare. They work with large datasets, applying statistical and machine learning techniques to uncover insights that drive innovation in drug development, genetics, and biomedical research. Their role often involves data visualization, database management, and collaboration with scientists and engineers. Strong analytical skills and proficiency in tools like Python, R, and SQL are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Biotech Data Analyst?

To thrive as a Biotech Data Analyst, you need a strong background in biological sciences, statistics, and data analysis, often supported by a degree in bioinformatics, biotechnology, or a related field. Familiarity with software tools such as Python, R, SQL, and bioinformatics platforms, as well as experience using data visualization and statistical analysis software, is typically required. Strong attention to detail, effective communication, and problem-solving abilities set top candidates apart. These skills are essential for interpreting complex biological data, ensuring accurate results, and clearly conveying findings to research teams or stakeholders.

What are the most commonly searched types of Biotech Data Analyst jobs in Raleigh, NC? The most popular types of Biotech Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Biotech Data Analyst jobs in Raleigh, NC? For Biotech Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Biotech Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Biotech Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Biotech Data Analyst jobs? Cities near Raleigh, NC with the most Biotech Data Analyst job openings:
Biotech Data Analyst jobs near you
Infographic showing various Biotech Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Data Engineer (Databricks, AWS)

CEI

Raleigh, NC

$70/hr

Full-time, Contractor

Posted 5 days ago

Job description

Title: Data Engineer (onsite)
Location: Raleigh, NC
Contract: W2 only, 12-month contract with potential for extension or conversion to full time with the client.
Pay: $70/hour + optional medical, dental, vision, 401(k) match

Overview

The Data Engineer will be responsible for designing, developing, and optimizing large-scale data pipelines and analytical solutions supporting Life Sciences Commercial Operations. This role requires deep expertise in Databricks (including Genie), AWS cloud services, and PySpark, with strong domain knowledge of pharmaceutical/biotech commercial datasets such as IQVIA, Symphony, DDD, NPA, Xponent, Claims, Specialty Pharmacy, and CRM/Sales data. The candidate will partner closely with Commercial Analytics, Data Science, and Business Stakeholders to deliver high-quality, scalable data products that enable sales insights, targeting, forecasting, incentive compensation, and field performance reporting.

Key Responsibilities
  • Build, optimize, and maintain data pipelines using Databricks, Delta Lake, and Genie-powered workflows.
  • Implement LLM-based automation and query generation using Databricks Genie for data exploration and business-user self-service.
  • Develop notebooks, jobs, workflows, and ML-ready datasets within the Databricks environment.
  • Design and manage data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, EMR, Redshift, and Athena.
  • Implement secure, scalable architectures following AWS best practices (IAM, VPC, encryption, monitoring).
  • Build distributed data transformation pipelines using PySpark for high-volume commercial datasets.
  • Optimize PySpark jobs for performance, cost efficiency, and reliability.
  • Implement unit testing, CI/CD, and code versioning using Git-based workflows.
  • Ingest, harmonize, and model datasets including IQVIA (Xponent, DDD, NPA, LAAD, NSP), Claims (medical, pharmacy), Specialty Pharmacy data feeds, Sales & CRM (Veeva, Salesforce), Roster, Territory, and Alignment datasets.
  • Build commercial data marts supporting sales reporting and dashboards, targeting and segmentation, incentive compensation, forecasting, and field performance insights.
  • Work with Commercial Analytics, Data Science, IT, and Business teams to translate requirements into scalable data solutions.
  • Ensure data quality, lineage, governance, and compliance with industry standards (HIPAA, GxP, SOC2).
Required Skills
  • 5–10+ years of experience in Data Engineering or Big Data Analytics.
  • Strong hands-on experience with Databricks, Genie, Delta Lake, and MLflow.
  • Advanced proficiency in PySpark, Python, SQL, and distributed computing.
  • Deep experience with AWS (S3, Glue, Lambda, EMR, Redshift, IAM).
  • Proven experience working with Life Sciences Commercial datasets.
  • Strong understanding of data modeling, ETL/ELT, and cloud architecture.
  • Experience with CI/CD, Git, DevOps, and automated workflow orchestration.
  • Demonstrated knowledge of ingesting, harmonizing, and modeling pharmaceutical/biotech datasets.
  • Ability to build scalable, high-performance data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Ability to work in fast-paced, cross-functional environments with high attention to data accuracy.
Required Education
  • No Education Requirements
Preferred Skills
  • Experience with Databricks Unity Catalog and Lakehouse architecture.
  • Familiarity with LLM-based automation or AI-assisted analytics.
  • Experience supporting Commercial Operations, Sales Leadership, and Field Teams.
  • Knowledge of incentive compensation methodologies and targeting algorithms.
  • Experience with BI tools (Tableau, Power BI, Qlik).
Why Should I Apply?

This role offers the opportunity to work on cutting-edge data solutions supporting Life Sciences Commercial Operations, with significant impact on sales insights and forecasting. Join a dynamic team leveraging advanced cloud and big data technologies to transform pharmaceutical data analytics.

About CEI:
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.

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