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Postdoc Single Cell Rna Sequencing Analysis Jobs in Indiana

Elanco

Senior Analyst - Discovery Research

Indianapolis, IN · On-site

$110K - $111K/yr

Execute antibody discovery campaigns using established selection workflows, including single-B cell ... for next-generation sequencing. * Experience with DNA and RNA purification workflows.

New

Indiana University

Postdoctoral Appointee

Bloomington, IN · On-site

$45K - $61K/yr

Participate in protocol development, data analysis and report/manuscript preparation. DUTIES AND ... Ability to perform cell culture and tissue models such as 3D tissue models and microfluidic systems ...

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Postdoc Single Cell Rna Sequencing Analysis information

What does a postdoc in single cell RNA sequencing analysis do?

A Postdoc in Single Cell RNA Sequencing (scRNA-seq) Analysis specializes in analyzing gene expression data from individual cells. Their main responsibilities include processing raw sequencing data, performing quality control, identifying cell types or states, and interpreting biological insights from the data. They often develop or apply computational methods to handle large datasets, collaborate with experimental biologists, and present findings through publications or conferences. The ultimate goal is to understand cellular heterogeneity and uncover new biological mechanisms at the single-cell level.

What are the key skills and qualifications needed to thrive as a postdoc in single cell RNA sequencing analysis, and why are they important?

To thrive as a Postdoc in Single Cell RNA Sequencing Analysis, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by a PhD in a relevant field. Proficiency with computational tools such as R, Python, and specialized single-cell analysis platforms (e.g., Seurat, Scanpy), as well as experience with data visualization and next-generation sequencing, is essential. Strong problem-solving abilities, effective communication, and collaboration skills help distinguish top candidates in interdisciplinary research environments. These skills enable accurate data interpretation, drive innovation, and support impactful scientific discoveries in complex biological systems.

What are some common challenges faced by postdocs working in single cell RNA sequencing analysis, and how can they be addressed?

Postdocs in single cell RNA sequencing analysis often encounter challenges such as managing large and complex datasets, integrating multi-omic data, and staying current with rapidly evolving bioinformatics tools. Collaborating closely with wet lab scientists and computational biologists is essential to interpret results accurately and to troubleshoot technical issues. Building strong programming and statistical skills, as well as actively participating in lab meetings and seminars, can help address these challenges and contribute to both personal growth and successful project outcomes.

What is the difference between Postdoc Single Cell Rna Sequencing Analysis vs Postdoc Bioinformatics?

AspectPostdoc Single Cell Rna Sequencing AnalysisPostdoc Bioinformatics
Required CredentialsPhD in Biology, Genetics, or related field; experience in sequencing data analysisPhD in Computer Science, Bioinformatics, or related field; programming skills essential
Work EnvironmentResearch labs focusing on genomics and cell biologyResearch institutions, biotech companies, or academic labs with computational focus
Employer & Industry UsageBiotech, academic research, pharmaceutical companiesBiotech, healthcare, academic research, industry R&D

Postdoc Single Cell Rna Sequencing Analysis specialists focus on analyzing single-cell transcriptomics data, often requiring biological expertise and lab experience. In contrast, Postdoc Bioinformatics roles emphasize computational skills and software development to interpret large datasets across various biological contexts. Both roles are vital in genomics research but differ in their primary focus and skill set.

What are popular job titles related to Postdoc Single Cell Rna Sequencing Analysis jobs in Indiana?

For Postdoc Single Cell Rna Sequencing Analysis jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Postdoc Single Cell Rna Sequencing Analysis jobs in Indiana look for?

The top searched job categories for Postdoc Single Cell Rna Sequencing Analysis jobs in Indiana are:

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Cities in Indiana with the most Postdoc Single Cell Rna Sequencing Analysis job openings:

Postdoc Single Cell Rna Sequencing Analysis jobs near you
Infographic showing various Postdoc Single Cell Rna Sequencing Analysis job openings in Indiana as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Fellow in Medical and Molecular Genetics

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Re-posted 8 days ago

Job description

Posting Details
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

Apply