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Postdoc Python Jobs in Massachusetts (NOW HIRING)

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Postdoc Python information

What are some common challenges postdoctoral researchers face when working with Python in academic research?

Postdoctoral researchers using Python often encounter challenges such as integrating Python with legacy codebases written in other languages, managing complex dependencies and environments, and ensuring reproducibility of research results. Collaborating with interdisciplinary teams may also require adapting code for different data formats and computational needs. Staying up-to-date with the latest Python libraries and best practices is crucial, as is documenting code so that it can be easily understood and used by other researchers.

What does a postdoc Python do?

A Postdoc Python is a postdoctoral researcher who specializes in using the Python programming language for scientific research, data analysis, or software development. They typically work in academic or research settings, contributing to ongoing projects, developing computational tools, and publishing their findings. Their work may involve collaborating with other scientists, mentoring students, and advancing research through innovative coding and data analysis techniques. Proficiency in Python allows them to tackle complex problems in fields like bioinformatics, physics, engineering, and more.

Are Postdoc Python in demand?

Postdoc positions requiring Python skills are in demand in research, data science, and academia, especially for roles involving data analysis, machine learning, and scientific computing. Employers value proficiency in Python, along with experience in libraries like NumPy, pandas, and TensorFlow, making these roles competitive and often project-based or grant-funded.

What are the key skills and qualifications needed to thrive as a postdoc Python?

To thrive as a Postdoc Python, you need a PhD in a relevant field, strong research experience, and advanced proficiency in Python programming. Familiarity with data analysis libraries (like NumPy, pandas, and SciPy), version control systems (such as Git), and computational tools is typically required. Critical thinking, problem-solving, and effective communication help differentiate outstanding candidates in collaborative and interdisciplinary environments. These skills ensure that complex research projects are executed efficiently, reproducibly, and with meaningful scientific contributions.

What is the difference between Postdoc Python vs Data Scientist?

AspectPostdoc PythonData Scientist
Required CredentialsPhD or equivalent in relevant field, strong Python skillsBachelor's or Master's in Data Science, Computer Science, or related field; Python skills often required
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, consulting firms
Industry UsageResearch projects, academic publicationsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonPostdoc Python vs Data Scientist

While both roles require strong Python skills, a Postdoc Python typically focuses on research and academic projects, often requiring a PhD. In contrast, a Data Scientist applies Python in industry settings to analyze data, build models, and support business goals. The work environment and career paths differ, with Postdocs leaning toward academia and Data Scientists toward industry roles.

What cities in Massachusetts are hiring for Postdoc Python jobs? Cities in Massachusetts with the most Postdoc Python job openings:

HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Re-posted 21 days ago


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Job description

Position
Details
Title
HMS - Postdoctoral Fellow in Biomedical Informatics (Park Lab)
School
Harvard Medical School
Department/Area
Biomedical Informatics
Position Description
The candidate will have the opportunity to work with the Park Lab to develop an independent research project within the scope of the lab's research focus. In addition to carrying out research, the successful candidate will have the opportunity to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to overall lab operations and collaborative environment.
We are looking for a highly skilled bioinformatics postdoctoral Research Fellow who specializes in researching, designing, developing, deploying, and maintaining scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, and cloud computing. This role will support research and production environments where reproducibility, scalability, and performance are critical.
The successful candidates will join a group of supportive, mission-driven, and positively busy computational biologists and have an opportunity to collaborate with world-class biologists in the Harvard Medical School area.
Basic Qualifications
An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as superb programming (Python, shell scripting) and communication skills.
Additional Qualifications
  • Extensive experience with analysis of highthroughput sequencing data and knowledge of bioinformatics tools for sequence alignment, variant calling, sequence data QC, etc.
  • Proficiency in Docker for creating a reproducible execution environment and Workflow Description Language for orchestrating complex tasks.
  • Strong understanding of AWS services (EC2, S3) or similar cloud platforms for compute and storage.
  • Version Control & CI/CD: Git, automated testing, deployment workflows.
  • Experience with Linux systems, HPC, and distributed computing environments.
  • Knowledge of optimizing pipelines for large-scale genomic projects.

Special Instructions
Required documents:
  • CV
  • Research summary of PhD work.
  • Cover letter describing your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab.
  • A NOTE with the names and contact information for three people who have agreed to serve as a reference.

Expected Dates:
Duration: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance, business need, and continued funding to support the position.
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.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy.
Contact Information
Cassie Perry
Contact Email
cassidy_perry@hms.harvard.edu
Salary Range
Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, can be found at https://postdoc.hms.harvard.edu/guidelines.
Minimum Number of References Required
Maximum Number of References Allowed
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