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Data Coding Jobs (NOW HIRING)

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Coding Proficiency: Strong proficiency in Python or R . * Technical Knowledge: Solid understanding ... Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation, ChIP-seq, or ATAC-seq)

Lifeline MO

Internship

Kirksville, MO

$13.50 - $18/hr

Data Entry & Analysis - This internship opportunity will provide the Lifeline education programs with vital support in data management and data coding of student survey data. Internship tasks will ...

AstraZeneca

Scientist, Data Science

Waltham, MA

$91K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Coding Proficiency: Strong proficiency in Python or R . * Technical Knowledge: Solid understanding ... Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation, ChIP-seq, or ATAC-seq)

Lifeline MO

Internship

Kirksville, MO · On-site

$13.50 - $18/hr

Data Entry & Analysis - This internship opportunity will provide the Lifeline education programs with vital support in data management and data coding of student survey data. Internship tasks will ...

Onos Health

Lead Data Scientist

San Francisco, CA · On-site

$180 - $260/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS) * Experience building production-grade models and deploying them in analytical or ...

Onos

Lead Data Scientist

San Francisco, CA · On-site

$200K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Familiarity with healthcare data standards (claims, eligibility, EHR/clinical data, coding sets like ICD, CPT, HCPCS) * Experience building production-grade models and deploying them in analytical or ...

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Data Coding information

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How much do data coding jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data coding in the United States is $29.58, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $36.06 per hour, depending on experience, location, and employer.

What is a data coding?

A Data Coding job involves organizing, labeling, and categorizing data to prepare it for analysis. This can include coding survey responses, tagging content, or structuring raw data for machine learning models. Professionals in this role often work with large datasets, ensuring accuracy and consistency. Data Coding is essential for transforming unstructured information into a structured format that can be easily analyzed.

What are the typical daily responsibilities of a data coding professional?

Data Coding professionals are responsible for reviewing, classifying, and entering data into databases according to established coding guidelines. On a typical day, you may work closely with raw datasets, accurately apply standardized codes, and validate entries to ensure data integrity. Collaboration with other data specialists or team members is often required to resolve discrepancies and support large-scale projects. Attention to deadlines and consistent quality checks are key aspects of the role. This position offers valuable hands-on experience with data systems, which can be a great stepping stone to advanced roles in data analysis or data management.

What are the key skills and qualifications needed to thrive in the data coding position, and why are they important?

To thrive in Data Coding, you need strong attention to detail, data analysis abilities, and a solid understanding of coding systems or data classification procedures, often supported by experience in data management or health information fields. Familiarity with software tools such as Microsoft Excel, databases, and specialized coding platforms, as well as relevant certifications like Certified Professional Coder (CPC), is common. Strong organizational skills, the ability to work independently, and clear communication are valuable soft skills in this role. These skills are essential to ensure data accuracy, maintain consistency, and support effective data processing for organizational decision-making.

How much do data coders make?

Data coders typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of coding tasks. Entry-level positions may pay closer to the lower end, while experienced coders with specialized skills can earn higher wages. Many data coding roles are part-time or freelance, affecting overall income potential.
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Data Coding jobs near you
Infographic showing various Data Coding job openings in the United States as of August 2026, with employment types broken down into 47% Full Time, 29% Part Time, and 24% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $61,532 per year, or $29.6 per hour.

Scientist, Data Science

AstraZeneca

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

22nd of 86 rated pharmaceutical

Job description

We are seeking a highly motivated Scientist to join a newly formed, dynamic team within early oncology R&D. The successful candidate will leverage their data science expertise in mining large datasets to drive our efforts in target identification, mechanism of action (MOA) studies, and biomarker strategy development, with a particular focus on analyses related to the function and aging of the immune system.
At AstraZeneca, you'll have the opportunity to make a significant impact on the future of healthcare while working in a collaborative environment at the cutting edge of research. The ideal candidate will thrive in this setting, contributing to our growth trajectory as we build our evolving team.
Key Responsibilities:
  • Execute and Maintain Pipelines: Process and analyze large-scale biobank datasets, human population data, and in-vitro biological data using established analysis pipelines.

  • Analytical Support: Apply analytical methods and machine learning algorithms to help identify potential therapeutic targets and biomarkers.

  • Cross-Functional Collaboration: Partner with wet-lab scientists to analyze experimental results for target identification and Mechanism of Action (MOA) studies.

  • Data Visualization: Generate high-quality visualizations and reports to communicate findings to the project team.

  • Strategic Contribution: Provide high-quality data and computational insights that contribute to the development of biomarker strategies.

  • Team Participation: Actively participate in team meetings, presenting data-driven insights to help the group meet project milestones.

  • Continuous Learning: Stay current with the latest developments in data science and bioinformatics tools.

Qualifications:
  • Education: Ph.D. in Bioinformatics, Computational Biology, Data Science, Epidemiology, or a related field (0-2 years post-graduate experience); or MS with 2-4 years of experience; or BS with 4+ years of relevant experience.

  • Data Experience: Minimum 2 years of experience working with large-scale biological or population datasets, preferably including experience analyzing immune system aging/function within the context of human and/or mouse data.

  • Coding Proficiency: Strong proficiency in Python or R.

  • Technical Knowledge: Solid understanding of statistical analysis and foundational machine learning techniques.

  • Genomics Foundation: Hands-on experience with NGS data analysis (e.g., RNA-seq, DNA methylation, ChIP-seq, or ATAC-seq).

  • Multi-omics Interest: Experience with, or a strong desire to learn, proteomic data analysis and multi-omic data integration.

  • Operational Skills: Excellent problem-solving skills, attention to detail, and the ability to manage multiple tasks in a fast-paced environment.

  • Communication: Ability to clearly present data and technical workflows to a multidisciplinary team.

Desired Skills and Attributes:
  • Prior experience or familiarity with biomarkers of immune system aging/function.

  • Prior experience or internship in the pharmaceutical or biotechnology industry.

  • Prior experience running large-scale association testing (e.g., genome-wide association studies [GWAS], epigenome-wide association studies [EWAS], proteome-wide association studies).

  • Familiarity with methods in statistical genetics (e.g., Mendelian randomization, fine mapping, colocalization).

  • Familiarity with machine learning analysis architectures (e.g., random forest, gradient boosting, transformers).

  • Familiarity with public biological databases (e.g., GTEx, TCGA), epidemiological cohort data (e.g., TOPMed cohorts), or biobanks (e.g., UK Biobank, FinnGen).

  • Ability to apply integrated generative protein design pipelines - from target-conditioned backbone generation through sequence design to computational fold validation - to support the development of novel therapeutic biologics with optimized specificity and developability properties.

  • Working knowledge of computational histology pipelines incorporating modern deep learning approaches - including self-supervised and weakly supervised learning (MIL, DINO) and histopathology foundation models (e.g. UNI, CONCH) - to enable scalable, label-efficient classification of complex tissue phenotypes.

  • Familiarity or prior experience with agentic AI in the context of analysis code pipeline development and biological analysis.

  • Evidence of scientific contribution through publications, posters, or GitHub repositories.

As AstraZeneca continues to put patients at the forefront of our mission, we are excited for our move to Kendall Square/Cambridge in 2026. Find out more information here: Kendall Square Press Release
Ready to join us on this mission? Apply now!
If you're curious to know more, please contact Bobbi Poole, our Talent Acquisition Partner.
Competitive remuneration and benefits apply
We offer a competitive Total Reward program including a market driven base salary, bonus and long-term incentive. We have a generous paid time off program and a comprehensive benefits package.
The annual base pay for this position ranges from $91,008.80 - $136,513.20. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
06-Aug-2026
Closing Date
29-Aug-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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About AstraZeneca

Sourced by ZipRecruiter

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. A place built on courage, curiosity and collaboration - we make bold decisions driven by patient outcomes. Empowered to lead at every level, free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Make a meaningful impact that brings real benefits to society. By applying your knowledge of data, you will help to redefine our industry and ultimately save lives. Work with experts who share a common goal: to accelerate the potential of medicines and the science of tomorrow.

Industry

Pharmaceutical product wholesalers and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

Cambridge, Cambridgeshire, GB

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