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Temporary Bioinformatics Computational Biology Jobs in Indiana

STI

Bioinformatician

Indianapolis, IN · On-site

... the bioinformatics side of NGS utilizing advanced computational methods to analyze the results ... biology, NGS and related sub- specialties; • Specialized knowledge of bioinformatic pipelines ...

Socket.dev

Senior Research Scientist

Indianapolis, IN · On-site

$150 - $200/hr

... bioinformatics, functional genomics, and AI/ML. Implement iterative design-test-learn and active ... Computational Biology, Technical Development, and Preclinical Development. Collaborate with ...

Elanco

Senior Research Scientist

Indianapolis, IN · On-site

$94K - $120K/yr

... reviews, bioinformatics, functional genomics, and AI/ML. Implement iterative "design-test-learn ... Computational Biology, Technical Development, and Preclinical Development. Collaborate with ...

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Temporary Bioinformatics Computational Biology information

What is a temporary bioinformatics computational biology?

A Temporary Bioinformatics Computational Biology position is a short-term role focused on using computational and statistical methods to analyze biological data, such as DNA sequences, proteins, or cellular processes. Individuals in this role typically work on specific research projects, data analysis tasks, or software tool development within academic, research, or biotech settings. These positions are often contract-based, supporting ongoing studies or filling in for permanent staff. Temporary roles provide valuable experience in applying computational techniques to solve biological problems and may serve as a stepping stone to permanent positions in the field.

What types of projects or tasks can I expect to work on as a temporary bioinformatics computational biology?

In a temporary bioinformatics computational biology role, you'll typically support ongoing research projects by analyzing large-scale biological datasets, developing or modifying computational pipelines, and assisting with data visualization. You may work closely with principal investigators, lab scientists, and other bioinformaticians to interpret genomic, transcriptomic, or proteomic data. The role often involves troubleshooting software or analysis issues and adapting quickly to new tools or datasets, making strong communication and problem-solving skills essential. Temporary positions can provide valuable exposure to collaborative research environments and current bioinformatics methodologies.

What are the key skills and qualifications needed to thrive as a temporary bioinformatics computational biology, and why are they important?

To thrive as a Temporary Bioinformatics Computational Biologist, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree in bioinformatics or computational biology. Proficiency with programming languages such as Python or R, experience in using bioinformatics tools like BLAST, and familiarity with database systems are typically required. Strong analytical thinking, attention to detail, and the ability to collaborate effectively are essential soft skills that distinguish top candidates. These skills enable accurate data analysis, efficient problem-solving, and productive teamwork, all critical for timely and high-quality research outcomes.

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Temporary Bioinformatics Computational Biology jobs near you

Postdoctoral Fellow in Medical and Molecular Genetics

Indiana University Academic Positions

Kokomo, IN • On-site

$42K - $58K/yr

Full-time

Re-posted 24 days ago

Job description

Position Details
Title Postdoctoral Fellow in Medical and Molecular Genetics Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Medical & Molecular Genetics Campus IU School of Medicine Indianapolis Position Summary
Postdoctoral Fellow in Neuropsychiatric Genetics
The Lai Laboratory in the Department of Medical and Molecular Genetics at the Indiana University School of Medicine is seeking highly motivated postdoctoral fellows to join our growing research team.

About the Lab
Our mission is to uncover the genetic and molecular basis of complex diseases and translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment.
Our research focuses primarily on substance use disorders and neurodegenerative diseases, where we combine genomic discovery with functional validation and clinical investigation to develop clinically actionable polygenic scores, identify biomarkers and therapeutic targets, and advance genetically informed drug repurposing.
Our laboratory is supported by multiple NIH grants and internal funding and offers an outstanding collaborative environment with investigators across Indiana University and leading national and international research institutions. We are committed to helping postdoctoral fellows establish independent research programs through strong mentorship, high-impact publications, grant writing, and career development.
We especially welcome applicants with backgrounds in psychiatry, neuroscience, or neurobiology who are eager to develop expertise in statistical genetics and computational genomics. Our lab provides a collaborative environment with strong mentorship in quantitative methods, enabling fellows to integrate experimental and computational approaches to study complex brain disorders.
Responsibilities
The successful candidate will have the opportunity to:
  • Conduct innovative genetic and translational research in substance use disorders or neurodegenerative diseases.
  • Analyze large-scale genomic, single-cell, multi-omics, and biobank datasets.
  • Design research studies, analyze and interpret data, and prepare manuscripts for publication.
  • Present research at national and international conferences and organize scientific symposia.
  • Contribute to fellowship and NIH grant applications.
  • Lead independent research projects while collaborating with multidisciplinary teams.
  • Establish new scientific collaborations within and outside Indiana University.
Training and Career Development
Our goal is to prepare postdoctoral fellows for successful independent research careers. Fellows receive close mentorship and support from the PI, lab mates, and an interdisciplinary network of collaborators in genetics, neuroscience, psychiatry, computational biology and bioinformatics, statistics, and clinical research.
Training emphasizes:
Developing an independent research program
Publishing high-impact manuscripts
Scientific communication and leadership
Fellowship and NIH grant writing
Building a long-term academic career
This position is particularly well suited for candidates pursuing independent academic careers in psychiatric genetics, neurogenetics, or precision medicine.
IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Basic Qualifications
Required
  • PH.D. (or equivalent) in Psychiatry, Neuroscience, Neurobiology, Genetics, or related fields.
  • Strong interests in manuscript preparation and grant development.
  • Experience with statistical genetics, bioinformatics, genomics, or computational biology.
  • Experience using high-performance computing and/or cloud computing.
  • Ability to work independently as well as collaboratively in an interdisciplinary research environment.
  • Strong written and oral communication skills.
Preferred
  • Genome-wide association studies (GWAS)
  • Statistical genetics and polygenic scores
  • Single-cell RNA-seq, proteomics, or other multi-omics analyses
  • Artificial intelligence and machine learning
  • Biobank and electronic health record (EHR) analyses
  • Drug repurposing or translational genomics
  • R, Python, Linux or cloud computing platforms
Department Contact for Questions
Applicants should submit:
Curriculum Vitae
Brief statement of research interests and career goals
Contact information for three references
through the Indiana University academic careers portal via this link
https://indiana.peopleadmin.com/postings/34012
Applications will be reviewed on a rolling basis until the position is filled.

Dongbing Lai, Ph.D.
Associate Professor
Department of Medical and Medical Genetics
Center for Computational Biology and Bioinformatics
Indiana University School of Medicine
HS4059
410 W. 10th street, Indianapolis, IN, 46202
Email: dlai@iu.edu
Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02486-2026

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