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Freelance Bioinformatics Machine Learning Jobs in Indiana

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Freelance Bioinformatics Machine Learning information

What does a Freelance Bioinformatics Machine Learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Bioinformatics Machine Learning Specialist, and why are they important?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Indiana? The most popular types of Bioinformatics Machine Learning jobs in Indiana are:
What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Indiana? For Freelance Bioinformatics Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Indiana look for? The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Freelance Bioinformatics Machine Learning jobs? Cities in Indiana with the most Freelance Bioinformatics Machine Learning job openings:
Freelance Bioinformatics Machine Learning jobs near you
Infographic showing various Freelance Bioinformatics Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 2% Locum Tenens, 55% Full Time, 10% Part Time, 2% Contract, 28% Nights, and 3% Summer. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Bioinformatics Analyst

Indiana University

Indianapolis, IN • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 14 days ago

Job description

One of the first human genetics departments in the country, the Department of Medical and Molecular Genetics at Indiana University (IU) School of Medicine has a rich history of training geneticists and genetic counselors and providing genetic consultation and counseling services. Currently ranked 5th in the nation among Genetics Departments for National Institutes of Health (NIH) Funding, received in 2023, the department contributes to the understanding of numerous genetic conditions through the integration of basic research in genetic and genomic mechanisms, translational research in disease models, and clinical trials in rare and common genetic diseases.
Job Summary
The Bioinformatics Analyst supports translational and basic science research by providing expertise in the analysis and interpretation of large-scale biological datasets. The position collaborates closely with faculty and trainees to design experiments, identify appropriate analytical approaches, interpret results, and support grant and manuscript preparation.
Department-Specific Responsibilities
  • Processes and analyzes next-generation sequencing (NGS) data, including bulk and single-cell RNA sequencing, DNA sequencing, epigenomics, spatial transcriptomics, metabolomics, and other high-throughput data types
  • Develops, optimizes, and maintains bioinformatics pipelines
  • Performs statistical and computational analyses
  • Integrates multi-omics datasets
  • Generates reports, visualizations, and summaries for investigators
  • Contributes to the development of bioinformatics tools and databases
  • Ensures reproducible research practices, maintains documentation, and provides consultation and training to researchers
General Responsibilities
  • Employs a variety of computational sequence analysis (mathematical and computing) tools to model and analyze biological data in support of researchers
  • Accesses, extracts, and prepares data for analysis, including combining data run on multiple platforms as well as externally generated data in support of meta-analyses
  • Installs, configures, customizes, and supports analytical software for data on research clusters
  • Performs performance and reliability assessments to ensure systems are performing to maximum productivity and scientific validity
  • Documents consultation, analysis, and quality control efforts
  • Researches and stays up-to-date on emerging technologies/tools, trends, standards, and best practices related to bioinformatics
Qualifications
Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.
EDUCATION
Required
  • Bachelor's degree (preferably in computer science, bioinformatics, biology, or a related field)
Preferred
  • Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, Genetics, Biomedical Informatics, or a related field
WORK EXPERIENCE
Preferred
  • Experience analyzing high-throughput biological data, including next-generation sequencing (NGS) and other omics datasets
  • Experience analyzing transcriptomics, genomics, epigenomics, proteomics, metabolomics, single-cell, or spatial omics data
  • Experience developing and maintaining reproducible bioinformatics pipelines and workflows
  • Experience with bioinformatics tools, databases, and workflow management systems
  • Experience with multi-omics data integration and machine learning approaches
  • Experience supporting grant applications and scientific manuscript preparation
  • Experience working in an academic medical center, research institute, or biotechnology environment
SKILLS
Required
  • Proficient written and verbal communication skills
  • Maintains a high degree of professionalism
  • Demonstrated time management and priority setting skills
  • Demonstrates a high commitment to quality
  • Possesses flexibility to work in a fast paced, dynamic environment
  • Seeks to acquire knowledge in area of specialty
Preferred
  • Strong programming, statistical, and communication skills
  • Proficiency in programming languages such as R, Python, and/or Bash
  • Experience working in Linux/Unix computing environments
  • Familiarity with high-performance computing (HPC) environments, cloud computing platforms, and workflow management systems such as Snakemake or Nextflow
  • Knowledge of statistical methods and data analysis techniques applicable to biological and biomedical research
  • Strong analytical, problem-solving, and organizational skills
  • Excellent written and verbal communication skills, with the ability to present complex analytical results to multidisciplinary research teams
  • Ability to work independently and collaboratively in a fast-paced research environment
  • Demonstrated record of scientific publications, conference presentations, or collaborative research projects
  • Knowledge of data visualization tools and development of interactive web applications for data exploration
Working Conditions / Demands
This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation.
Work Location
Indiana University Indianapolis
Indianapolis, Indiana
This is an in-person position.
Advertised Salary
$50,648.00 - 53,580.60 per year based on experience and internal equity within the department.
Benefits Overview
For full-time staff employees, Indiana University offers a wide array of benefits including:
  • Comprehensive medical and dental insurance
  • Health savings account with generous IU contributions
  • Healthcare and dependent care flexible spending accounts
  • Basic group life insurance paid by IU
  • Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance
  • Base retirement plan with generous IU contributions, subject to vesting
  • Voluntary supplemental retirement plan options
  • Tuition subsidy for employees and family members taking IU courses
  • 10 paid holidays plus a paid winter break each year
  • Generous paid time off plans
  • Paid leave for new parents and IU-sponsored volunteer events
  • Employee assistance program (EAP)
Learn more about our benefits by reviewing the IU Benefit Programs Brochure .
Job Classification
Career Level: Core
FLSA: Exempt
Job Function: Information Technology
Job Family: Data Analysis & Engineering
Click here to learn more about Indiana University's Job Framework.
Posting Disclaimer
This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date.
If you wish to include a cover letter, you may include it with your resume when uploading attachments.
Equal Employment Opportunity
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information .
Campus Safety and Security
The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD.
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