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Locum Bioinformatics Software Engineer Jobs in Illinois

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Full-stack software engineering, data persistence, and application delivery. * Operations ... Responsibilities Senior Manager, Bioinformatics Requires a bachelor's (or equivalency) + 8 years or ...

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Full-stack software engineering, data persistence, and application delivery. * Operations ... Responsibilities Senior Manager, Bioinformatics Requires a bachelor's (or equivalency) + 8 years or ...

Bioinformatics Management

Campus, IL · Hybrid

$110K - $122K/yr

Full-stack software engineering, data persistence, and application delivery. * Operations ... Responsibilities Senior Manager, Bioinformatics Requires a bachelor's (or equivalency) + 8 years or ...

We are seeking a highly motivated and capable Bioinformatics Scientist to join our Liquid Biopsy ... software engineers, and product managers to translate cutting-edge research into clinically ...

Information, Software, Data, or Infrastructure. Responsibilities: * Independently design and ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Information, Software, Data, or Infrastructure. Responsibilities: * Independently design and ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Information, Software, Data, or Infrastructure. Responsibilities: * Independently design and ... Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using appropriate programming language. * Minimum of 1 year of experience ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

Minimum 2 years of experience in developing bioinformatic methods, analysis pipelines, or software tools for biological data using appropriate programming language. * Minimum of 1 year of experience ...

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Locum Bioinformatics Software Engineer information

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Senior Bioinformatics Research

Harvard University

Harvard, IL • On-site

$60 - $80/hr

Other

Posted 6 days ago


Key responsibilities

  • Design and implement reusable bioinformatics analysis pipelines for processing RNA‑seq, single‑cell RNA‑seq, genomics, and proteomics data.

  • Apply computational, statistical, and AI/ML approaches to analyze multi‑omics datasets and support functional discovery.

  • Collaborate with investigators and team members to define project scope, research scientific topics, and implement bioinformatics solutions.


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 631 rated colleges and universities


Job description

Position Overview

We are seeking a highly motivated post‑doc trainee to join Dr. Norbert Perrimon’s group in the Program of Genetics at Harvard Medical School. The Perrimon lab is actively generating omics‑scale data sets and this position will involve working with other post‑doc trainees who are responsible for designing and generating such data, as well as collaborating with the DRSC/TRiP functional genomics core—a multidisciplinary team of biologists, software engineers, and bioinformaticians—to develop and leverage technological breakthroughs for exploring complex biological systems.

Principal Responsibilities
  1. Design and implement reusable bioinformatics analysis pipelines for processing RNA‑seq, single‑cell RNA‑seq, genomics, and proteomics data; develop novel algorithms and integrated data‑visualization applications when existing software packages are not available or adequate.
  2. Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi‑omics datasets such as genomics, transcriptomics, proteomics, metabolomics, and related data.
  3. Help develop custom databases, web portals, and pipelines for managing raw and processed experimental data as well as reagent identification and design.
  4. Collaborate closely with investigators and lab members on research projects, including defining the scope of collaboration, researching scientific topics, and implementing appropriate bioinformatics solutions that meet project timelines. Coordinate and collaborate with other bioinformaticians, biostatisticians, information technology professionals, and interdepartmental project teams.
  5. Properly document the procedures used in computational analysis, provide summary reports of results, and contribute to grant and manuscript writing.
Salary and Benefits

This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post‑PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.

With this appointment, you are represented by the Harvard Academic Workers (HAW)–UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.

Basic Qualifications
  • Doctoral degree in Bioinformatics or in biology with extensive experience analyzing omics data.
  • Strong background in programming, algorithms, and statistics.
  • Familiarity with programming techniques for analyzing large data sets and experience working with big data (e.g., NGS data at multi‑TB scale).
  • Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired.
  • Fluent in one programming language (Python, C, C++, or Java) and familiar with scripting languages (bash, Perl).
  • Knowledge of Unix operating system, terminal, and bash is a plus.
  • Experience using a compute cluster and excellent information‑management skills.
EEO/Non‑Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world and strive to ensure everyone at Harvard thrives. Harvard’s equal‑employment‑opportunity policy prohibits discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law.

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