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Postdoc Python Jobs in Brookline, MA (NOW HIRING)

QuEra Computing, Inc.

Quantum Machine Builder

Boston, MA · On-site

$135K - $185K/yr

... with postdoctoral training, are welcome to apply. Applicants should demonstrate sufficient ... Proficient in coding (Python, Linux) * Experience working with data acquisition systems and data ...

Massgeneralbrigham

Postdoctoral Fellow

Boston, MA · On-site

$79K/yr

The postdoctoral fellow will not only play a key role in research investigations, but also Research ... Ability to code in R or in python This description has been designed to indicate the general nature ...

Massgeneralbrigham

Postdoctoral Fellow

Boston, MA

$79K/yr

The postdoctoral fellow will not only play a key role in research investigations, but also Research ... Ability to code in R or in python This description has been designed to indicate the general nature ...

Mass General Brigham

Postdoctoral Fellow

Boston, MA · On-site

$79K/yr

The postdoctoral fellow will not only play a key role in research investigations, but also Research ... Ability to code in R or in python This description has been designed to indicate the general nature ...

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Postdoc Python information

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How much do postdoc python jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for postdoc python in Brookline, MA is $63.42, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $72.02 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a Postdoc Python, and why are they important?

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 job categories do people searching Postdoc Python jobs in Brookline, MA look for? The top searched job categories for Postdoc Python jobs in Brookline, MA are:
Postdoc Python jobs near you
Postdoctoral Fellow / Research Scientist (Ph.D.) in Human Neural Circuit Physiology

Postdoctoral Fellow / Research Scientist (Ph.D.) in Human Neural Circuit Physiology

Harvard University

Cambridge, MA • On-site

$67K - $80K/yr

Full-time

Re-posted 2 hours ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

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Job description

Position
Details
Title
Postdoctoral Fellow / Research Scientist (Ph.D.) in Human Neural Circuit Physiology
School
Faculty of Arts and Sciences
Department/Area
Stem Cell and Regenerative Biology
Position Description
The laboratory of Prof. Paola Arlotta invites applications for a Ph.D.-level Postdoctoral Fellow or Research Scientist with strong expertise in systems-level electrophysiology and neural data science. The successful candidate will investigate human neural circuit physiology and neuronal dynamics in human brain organoids, with a focus on CNS disorders such as Autism Spectrum Disorder (ASD).
The Arlotta Lab develops and applies human cortical organoid models to understand principles of human cortical development and how they are perturbed in neurodevelopmental and neuropsychiatric disease. This position will center on high-throughput functional interrogation of human neural circuits and on building new experimental and analytical pipelines to link cellular and circuit phenotypes to genetic risk.
Key Responsibilities
• Design and execute experiments to characterize single-cell and network-level activity in human cortical organoids and related human in vitro systems.
• Lead the implementation and optimization of high-throughput functional platforms, including:
o Single-unit extracellular recordings (e.g., high-density MEA systems, neural probes)
o Calcium and voltage-sensitive dye imaging for large-scale population dynamics
• Develop and integrate novel, cutting-edge technologies for functional circuit analysis; independently evaluate, set up, and optimize new hardware and software platforms.
• Build and maintain robust data analysis pipelines for large-scale electrophysiological and imaging datasets, including spike sorting, network analysis, and state/dynamics characterization.
• Collaborate with lab members generating organoids from neurotypical and ASD-associated genetic backgrounds to identify convergent and divergent network phenotypes.
• Present results in internal and external meetings, contribute to manuscripts and grant proposals, and help mentor students and research assistants.
ABOUT THE LAB
We encourage applicants to read more about our scientific goals on our lab website. In addition, the Arlotta lab is actively working to become an equitable and inclusive community. The lab recognizes the inequity and bias within the academic community and is dedicated to our continuous self-education and activism in these areas. Future members are strongly encouraged to be active participants in these endeavorsas part of their scientific career.
Basic Qualifications
Required Qualifications
• Ph.D. in Neuroscience, Biomedical Engineering, Physics, Computer Science, or a related quantitative field.
• Deep expertise in electrophysiology signal analysis, data science, and programming, demonstrated by publications and/or software tools, including:
o Analysis of extracellular recordings (single-unit and multi-unit activity, spike sorting, LFP, synchrony, connectivity, oscillations)
o Quantitative analysis of network activity from MEA and/or imaging
o Proficiency in Python, MATLAB, or similar languages for data processing, statistics, and visualization.
• Substantial hands-on experience with systems neuroscience methods, such as:
o High-density MEA recordings or other multi-site extracellular recording platforms
o Calcium imaging and/or voltage-sensitive dye imaging for neuronal population dynamics
o Whole-cell patch-clamp recordings
o Synaptic physiology (evoked and spontaneous synaptic potentials, plasticity paradigms)
• Demonstrated ability to independently design, troubleshoot, and execute experiments and to manage complex datasets.
• Strong written and oral communication skills and a record of peer-reviewed publications commensurate with career stage.
Additional Qualifications
  • Preferred Qualifications
    • Experience with human iPSC-derived neurons, brain organoids, or brain slices.
    • Familiarity with modern spike sorting toolkits, machine learning or statistical modeling of neural data, and reproducible code practices (version control, documentation).
    • Background in neurodevelopmental disorders, circuit neuroscience, or ASD-related research.
    • Demonstrated interest in combining electrophysiology and imaging with single-cell genomics, spatial transcriptomics, or computational modeling.
    • Proven ability and enthusiasm to evaluate, adopt, and innovate new experimental technologies (e.g., new MEA platforms, optical tools, closed-loop systems).

Special Instructions
Please apply and upload your documents.
Contact Information
Laura Chavez
Contact Email
lchavez@fas.harvard.edu
Salary Range
$67,600-$80,000
Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field
Minimum Number of References Required
2
Maximum Number of References Allowed
3
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