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Postdoc Python Jobs in Massachusetts (NOW HIRING)

The postdoc will join an interdisciplinary program that combines quantum sensing instrumentation ... Demonstrated ability to analyze experimental data (e.g., in Python, MATLAB, or equivalent) KEY ...

Postdoctoral Investigator

Falmouth, MA · On-site

$68K - $75K/yr

Job Summary A Postdoctoral Investigator (PDI) position is available in the Marine Chemistry ... python-based open source tools. Upon completion of data analysis manuscript writing will be ...

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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:

Postdoctoral Associate, Institute for Global Sustainability

Boston University

Boston, MA • On-site

$67K - $70K/yr

Full-time

Posted 4 days ago


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Job description


The BU Institute for Global Sustainability is seeking a highly motivated and detail-oriented Postdoctoral Associate to join the interdisciplinary research team of the Clean Energy and Environment Legacy Transition (CELT) Initiative, a partnership between Boston University, UMass Lowell, and the government of Massachusetts. This role focuses on the intersection of energy systems, public health, environmental sustainability, and energy affordability-advancing understanding of how energy production, distribution, consumption, and policy affect human health, environmental quality, and equitable access to clean energy.
The successful candidate will conduct quantitative research integrating multiple research streams:
(1) quantifying health impacts of energy systems through air pollution, greenhouse gas emissions, extreme heat, and environmental inequities; and
(2) analyzing energy affordability dynamics through cost structures, clean energy adoption, electricity markets, and socioeconomic factors.
Working collaboratively with faculty, researchers, and external partners across engineering, public health, environmental science, economics, public policy, and social science, the Postdoctoral Associate will apply advanced analytical methods to evaluate interconnections between energy, affordability, climate, health, and equity. This research will support evidence-based decision-making that promotes clean, affordable, resilient, and equitable energy systems.
Key Responsibilities
  • Conduct interdisciplinary research examining relationships between energy systems, air quality, climate change, public health, and energy affordability
  • Analyze large and complex environmental, health, demographic, emissions, energy, utility, socioeconomic, and market datasets using advanced statistical and computational methods
  • Quantify health impacts of energy production and consumption, including exposure to air pollutants, greenhouse gas emissions, and climate-related hazards
  • Evaluate public health co-benefits and equity outcomes of clean energy technologies, electrification, renewable energy deployment, and emissions reduction strategies
  • Conduct quantitative analyses of energy affordability and energy burden using large-scale datasets from utilities, government agencies, and research partners
  • Clean, integrate, and manage diverse datasets, ensuring high standards of data quality, reproducibility, and scientific rigor
  • Develop, refine, and work on models to identify drivers of energy burden, health impacts, and evaluate clean energy interventions
  • Integrate data from environmental monitoring networks, satellite observations, health surveillance systems, energy models, utility systems, and geospatial databases
  • Prepare scientific manuscripts, technical reports, policy briefs, and presentations for academic, government, and industry audiences
  • Collaborate with multidisciplinary teams and stakeholder groups
  • Present research findings at scientific conferences and stakeholder workshops

About the Opportunity
The CELT Initiative at the BU Institute for Global Sustainability provides a collaborative research environment committed to addressing global sustainability challenges. Postdoctoral researchers have opportunities to work alongside recognized faculty, engage with government and industry partners, publish high-impact research in leading academic journals, and contribute to solutions that improve the health, affordability, resilience, and sustainability of energy systems. This is an excellent opportunity for an early-career researcher seeking to build expertise at the intersection of energy, environment, public health, data science, and policy.
Required Skills
Required Qualifications
  • PhD degree in Public Health, Environmental Health, Epidemiology, Environmental Science, Data Science, Statistics, Economics, Engineering, Energy Systems, Applied Mathematics, Geography, Computer Science, or a closely related quantitative discipline
  • Demonstrated experience conducting quantitative research using large and complex datasets
  • Strong programming skills in Python, R, or equivalent analytical software
  • Experience applying statistical analysis, epidemiological methods, machine learning, predictive modeling, or other advanced quantitative techniques
  • Familiarity with data visualization, reproducible research practices, and scientific computing
  • Excellent written and verbal communication skills, including scientific writing and publication
  • Demonstrated ability to work independently and collaboratively within multidisciplinary research teams

Preferred Qualifications
  • Knowledge of energy systems, electricity generation, transportation electrification, renewable energy technologies, or energy policy
  • Experience with energy affordability, energy burden, or energy justice research
  • Experience with environmental epidemiology, exposure assessment, health impact assessment, or climate and health research
  • Familiarity with air quality datasets, emissions inventories, atmospheric modeling outputs, or satellite-derived environmental data
  • Experience working with utility, electricity market, socioeconomic, or census datasets
  • Experience with GIS and spatial analysis, cloud computing, or high-performance computing environments
  • Familiarity with environmental justice, health equity, and community-based research approaches

Skills and Competencies
  • Strong quantitative and analytical problem-solving abilities
  • Advanced attention to detail and commitment to research quality
  • Knowledge of public health, statistical, and econometric research methods
  • Ability to integrate diverse environmental, health, energy, and socioeconomic datasets
  • Excellent scientific communication skills for technical and non-technical audiences
  • Strong project management and organizational skills
  • Collaborative approach to interdisciplinary and cross-sector research
  • Intellectual curiosity and commitment to impactful sustainability research

Application Instructions:
To apply, please email the following materials as PDFs to IGS Director of Finance & Administration, Serrie Anderson, at serrie@bu.edu:
  1. Cover letter articulating your expertise and why you are interested in the position
  2. CV detailing academic background, relevant research methods expertise, publications, and presentations
  3. A list of two professional references (including titles, phone numbers, and emails)

A rolling review of applicants will occur until the position is filled.

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About Boston University

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Boston University is an international, comprehensive, private research university, committed to educating students to be reflective, resourceful individuals ready to live, adapt, and lead in an interconnected world. Boston University is committed to generating new knowledge to benefit society. We remain dedicated to our founding principles: that higher education should be accessible to all and that research, scholarship, artistic creation, and professional practice should be conducted in the service of the wider community—local and international. These principles endure in the University’s insistence on the value of diversity, in its tradition and standards of excellence, and in its dynamic engagement with the City of Boston and the world. Boston University comprises a remarkable range of undergraduate, graduate, and professional programs built on a strong foundation of the liberal arts and sciences. With the support and oversight of the Board of Trustees, the University, through our faculty, continually innovates in education and research to ensure that we meet the needs of students and an ever-changing world.

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Year founded

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