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Biodata Jobs (NOW HIRING)

Prior experience with the NHLBI BioData Catalyst environment; active NIH badge is a plus * Experience developing scientific systems that search for data in large datasets which include biological ...

Senior Medical Coder

Raleigh, NC · On-site +1

$16 - $21.50/hr

Job Summary: Perform dictionary coding in accordance with study specific coding conventions using MedDRA and WHO Drug within various coding systems. Manage end-to-end delivery of clinical data ...

Biodata information

See salary details

$35.5K

$88.3K

$120.5K

How much do biodata jobs pay per year?

As of Jul 15, 2026, the average yearly pay for biodata in the United States is $88,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What are biodata jobs?

Biodata jobs typically refer to positions that involve the collection, analysis, and management of biological data. Professionals in this field may work with genetic, ecological, or physiological data to support research, healthcare, or environmental monitoring. These jobs can include roles such as bioinformaticians, data analysts, and laboratory technicians, all of whom use specialized tools and software to interpret complex biological information. The goal is often to advance scientific understanding, improve patient outcomes, or inform policy decisions.

What are the key skills and qualifications needed to thrive as a Biodata Analyst, and why are they important?

To thrive as a Biodata Analyst, you need a background in biology or environmental science, strong analytical skills, and experience with statistical analysis. Familiarity with data analysis tools such as R, Python, or SPSS, and possibly certifications in data science or bioinformatics, is commonly required. Attention to detail, critical thinking, and effective communication are important soft skills for interpreting complex data and collaborating with research teams. These skills ensure accurate data interpretation and effective reporting, which are crucial for advancing scientific research and informed decision-making.

What is a Biodata job?

A Biodata job typically refers to a position that involves collecting, analyzing, and managing biographical data for various purposes, such as recruitment, research, or documentation. It may be used in HR for candidate profiling, in healthcare for patient records, or in research fields for demographic studies. The job requires attention to detail, data organization skills, and sometimes knowledge of statistical or analytical tools.

What are some common challenges faced by professionals working in biodata management, and how can they overcome them?

Professionals in biodata management often encounter challenges related to data accuracy, privacy, and integration from multiple sources. Ensuring data integrity and compliance with privacy regulations like GDPR requires meticulous attention and secure handling practices. Collaboration with IT teams, regular training on data protection, and staying updated on best practices can help overcome these challenges. Additionally, strong communication skills are essential for effectively working with researchers, clinicians, or HR departments to meet organizational objectives.

What is the difference between Biodata vs Resume?

AspectBiodataResume
PurposeProvides personal details, background, and basic information about an individualHighlights skills, experience, and qualifications for a specific job application
ContentPersonal info, family details, education, hobbiesWork experience, skills, achievements, education
FormatMore detailed, often narrativeConcise, structured, bullet points
UsageCommon in India for government jobs, personal recordsCommon globally for job applications

While both Biodata and Resume contain personal and professional information, Biodata emphasizes detailed personal background and is often used for government or personal records, whereas a Resume focuses on professional skills and experience tailored for specific job applications.

What are the most commonly searched types of Biodata jobs? The most popular types of Biodata jobs are:
What states have the most Biodata jobs? States with the most job openings for Biodata jobs include:
Infographic showing various Biodata job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 50% Physical, and 50% Remote job distribution, with an average salary of $88,300 per year, or $42.5 per hour.
Faculty, Biodata Engineering

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Medical, Retirement, PTO

Re-posted 6 days ago


UT Southwestern rating

8.0

Company rating: 8.0 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

88th of 885 rated healthcare providers


Job description

TheDepartment of Biomedical Engineering(BME) at the University of Texas Southwestern Medical Center (UTSW) in Dallas, TX invites applications for a full-time tenured/tenure track faculty position at the Assistant or Associate Professor level. We seek applications from individuals with research focus on biodata engineering, artificial intelligence (AI), machine learning (ML), data science and data curation for medical applications. Highly qualified senior postdoctoral fellows with outstanding publications and extramural research funding may be eligible for UTSW's prestigiousEndowed Scholarsprogram and are strongly encouraged to apply.

We are especially interested in candidates who will provide inspirational leadership in research and initiate collaborative opportunities across the medical center. BME faculty work closely with clinical and basic research faculty in the highly collaborative UTSW Medical Center environment translating new technologies into medical solutions. All faculty members are expected to be enthusiastic mentors to trainees and actively engage in the teaching mission of the department.
Responsibilities

Successful candidates will develop an innovative research program that integrates medical data (imaging, diagnostics, pathology, omics, and related data sets) to predict, monitor and improve human health. The department is particularly interested in the application of AI/ML to functional neuroimaging, biomedical imaging speech and text, and mining clinical data. Candidates with research focus on system data science will work closely with biomedical engineers to establish a program on biodata engineering.

This research focused position will include responsibility for teaching graduate students and mentoring trainees. Specific focus areas of research are open but may include application of artificial intelligence, machine learning and data science.
About the Department of Biomedical Engineering

The UTSW Department of Biomedical Engineering is one of the few placed solely within a medical center, with no undergraduate program. We aim to drive programmatic integration in biomedical engineering and address emerging clinical and scientific challenges in medicine and biology using innovative technologies. Anchored by outstanding faculty, motivated trainees and exceptional clinical and engineering infrastructure the department strives to create innovative systems and methods that will play an active role in transforming the current disease care system into a genuine health care enterprise.

The ideal candidate will have earned a Ph.D., an M.D. or an equivalent degree in Biomedical Engineering or a related field (preferably a degree in Computer Science or Computer Engineering). A demonstrated potential for innovations in biomedical engineering and data technology is desirable. Highly competitive applicants will have education and/or experience in one or more of the following:

  • Biomedical engineering, software engineering, computer science, or related field.
  • Track record of scholarly research.
  • Familiarity with extramural funding, impactful publications, and excellent technical writing skills.

Applicants should apply onlineand upload:

  • A curriculum vitae
  • A cover letter
  • A 2-page summary of research accomplishments and future plans
  • A one paragraph description of their three most significant publications (or preprints) that include a link or hyperlink to the publication.
  • Names and contact information (e-mail and telephone) of three references
Applications submitted before December 15, 2025 will receive full consideration, with a targeted start date of June 1, 2026.

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

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