Explore 3 junior python developer jobs from 3 hiring companies in Barnstable, MA, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Junior Python Developer Jobs

Center for Coastal Studies

Festo

Marine Biological Laboratory

Onsite

The Marine Geology Department at the Center for Coastal Studies is offering a 2–4 week opportunity to an undergraduate student currently enrolled in 4-year college in a relevant major to participate in field-based surveys of the seafloor via crewed and autonomous acoustic surveys. The student will participate in all aspects of mobilization, survey prep and performance and demobilization. This position offers hands-on experience in field data collection, sensor/platform integration, and geospatial data processing within a marine research environment. Key Responsibilities:
<ul>
<li>Assist with nearshore and coastal operations using vessel-based acoustic survey instruments and ancillary equipment</li>
<li>Support deployment and recovery of small survey platforms, including autonomous or remotely operated surface vehicle (JetYak)</li>
<li>Contribute to sensor fusion workflows, integrating GNSS, INS/MRU, and vision systems (e.g., stereo/depth cameras) for improved positioning and mapping accuracy  </li>
<li>Monitor incoming data during surveys and help identify basic data quality issues</li>
<li>Assist with setup and integration of survey sensors, including positioning and motion systems</li>
<li>Help maintain equipment and organize field logistics</li>
</ul>
 Required Qualifications:
<ul>
<li>Pursuing a degree in marine science, engineering, robotics, geophysics, environmental science, or a related field</li>
<li>Basic understanding of geospatial data, physics, or environmental systems</li>
<li>Familiarity with Python, MATLAB, or similar tools is a plus</li>
<li>Comfortable working outdoors and on small vessels in variable conditions</li>
</ul>
 Preferred Qualifications:
<ul>
<li>Exposure to GIS, hydrographic surveying, or remote sensing</li>
<li>Interest in marine technology, robotics, or environmental monitoring</li>
<li>Familiarity with computer vision or machine learning</li>
<li>Experience with data analysis, electronics, or field-based research </li>
</ul>
What You’ll Gain:
<ul>
<li>Hands-on experience with professional-grade seafloor mapping systems and workflows</li>
<li>Exposure to real-world survey planning, data acquisition, and processing</li>
<li>Opportunity to work with interdisciplinary teams in a coastal research setting</li>
</ul>

Internship (Shoreline & Seafloor Mapping Program)

Internship

Pursuing a degree in marine science, engineering, robotics, geophysics, or related field; basic geospatial knowledge; Python or MATLAB familiarity; able to work outdoors on small vessels.

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The Ruff and Koop-Jakobsen Labs seek a postdoctoral researcher (PD) to conduct independent research at the interface of subsurface microbial ecology, (eco)physiology and biogeochemistry. The overarching goal of the project is to investigate microbial populations and metabolisms that are involved in the production and consumption of "dark oxygen". Dark oxygen can be microbially produced in the absence of light mainly via the dismutation of chlorite (ClO2- --> Cl- + O2) or nitric oxide (2NO --> N2 + O2). The Ruff Team, together with international collaborators, has shown that dark oxygen is produced in subsurface environments potentially on a global scale. This process is thus relevant for the ecology and evolution of the subsurface and may represent an overlooked player in biogeochemical cycles including the carbon cycle, e.g. through the aerobic oxidation of methane in bulk anoxic ecosystems.
We now received funding from the NASA ICAR program (Interdisciplinary Consortia for Astrobiology Research) to further study dark oxygen production (DOP) in diverse marine and terrestrial subsurface ecosystems. To obtain comprehensive insights the PD will combine multi-omics, long-read sequencing, stable isotope probing (SIP), gas chromatography, mass spectrometry, microelectrode measurements and high-resolution microscopy to study the biogeochemistry and metabolic activity of microbes performing DOP. In collaboration with leading labs in their field the OxyMoRon project also includes oxygen isotope geochemical analyses (Dr. Scott Wankel and Dr. Valier Galy, Woods Hole Oceanographic Institution), bioinformatics (Valerie De Anda, MBL/University of Vienna), single-cell genomics (Maria Pachiadaki, WHOI) cultivation, molecular evolution and microbial ecophysiology (Ranjani Murali, University of Nevada Las Vegas). Candidate CV's will be shared with these project leads.  The position is highly interdisciplinary and collaborative, enabling the PD to become part of an excellent global network of geochemists and environmental microbiologists. https://science.nasa.gov/astrobiology/researchers/funded-research/icar/icar2024/ 
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The PD will work in the Ecosystems Center as well as the Josephine Bay Paul Center and will be able to substantially shape the research direction and develop original questions within the overall scope of the project. We seek an independent, creative and highly motivated postdoctoral scientist with a publication track record in microbiology or related fields. Funding support is available for three years, with an extension to up to four years, but performance will be reviewed on an annual basis.
Submission deadline is end of April, a decision will be made by the end of May, and start date is between August 1 and November 1, ideally September 1.
Basic Qualifications
• A PhD in microbiology, microbial ecology, biochemistry, biogeochemistry, bioinformatics, or equivalent areas of research by start date. • Strong work ethic, creative thinking, problem solving, ability to work independently and in a team • Excellent oral and written communication skills including demonstrated publication and presentation record • Expertise in one or more -omics techniques, including (meta)genomics, (meta)transcriptomics, (meta)proteomics, metabolomics and downstream analyses and visualization of -omics data • Proficiency in one or more (bio)informatics languages, including java, python, R. Ability to develop scripts and workflows for data analysis and visualization.
Preferred Qualifications
One or more of the following: • Experience with long-read sequencing platforms and downstream analyses (e.g. PacBio, Oxford Nanopore) • Experience with cell staining, fluorescence in situ hybridization, microscopy • Experience in microbial cultivation, isolation, chemical engineering and/or bioengineering • Experience with chromatography methods, mass spectrometry • Experience with physiological/biochemical characterization of archaeal and bacterial metabolisms
Application Documents
Please upload as a single PDF the following documents:
<ul>
<li>Cover Letter</li>
<li>Curriculum Vitae (CV)</li>
<li>Research goals</li>
<li>Name and contact information for 3 references.  Please do not need send letters; we will contact those on your list.</li>
</ul>
About MBL
The <a href="http://www.mbl.edu/" target="_blank" rel="noopener">Marine Biological Laboratory</a> (MBL) is dedicated to scientific discovery and improving the human condition through research and education in biology, biomedicine, and environmental science. Founded in Woods Hole, Massachusetts, in 1888, the MBL is a private, nonprofit institution and an affiliate of the University of Chicago.
MBL is committed to creating a welcoming and inclusive environment where diverse experiences and perspectives combine to better the advancement of scientific inquiry and discovery.
MBL offers a generous benefits package including:
<ul>
<li>Medical and Dental Insurance through Blue Cross Blue Shield of Massachusetts.</li>
<li>Voluntary Vision Insurance through VSP.</li>
<li>Basic Life/AD&D Insurance; Voluntary Life/AD&D Insurance; Short-Term Disability Insurance; and Long-Term Disability Insurance.</li>
<li>Vacation Time: Employees accrued based on years of service, beginning with 12 days/year.</li>
<li>Sick Time: Employees accrue 13 sick days/year. Accrued paid time off is pro-rated based on scheduled hours.</li>
<li>Holidays: 10 paid holidays per year plus 2 floating holidays.</li>
<li>Flexible Spending Accounts: Employees may make pre-tax contributions up to the yearly IRS limit for health care expenses and for dependent care expenses. The plan is administered by Discovery Benefits/WEX.</li>
<li>Tax Deferred Annuity Plan: Employees may make pre-tax or after-tax contributions to a TIAA account up to the IRS limit. MBL Retirement Plan: The MBL contributes 10% of salary to the Retirement Plan to a TIAA account. Eligibility is two years of service, however service at other government or non-profit institutions may count toward this requirement. Contributions are immediately fully vested.</li>
<li>Employee Assistance Program (EAP): The MBL offers an EAP which provides free and confidential counseling to employees and family members. The program is administered by New Directions Behavioral Health.</li>
</ul>

Postdoctoral Scientist - Subsurface microbial ecology, (eco)physiology and biogeochemistry

Postdoctoral Scientist

PhD in microbiology, microbial ecology, biochemistry, biogeochemistry, bioinformatics, or related field; strong communication; experience with -omics; programming in Java, Python, or R.

Founded in 1925, Festo Corporation is the leading worldwide supplier of automation technology and the performance leader in industrial training and education programs.  For many years Festo has been providing impetus for factory automation and offers a wide product and service portfolio – from individual components to complex customized solutions and system. As a family-owned company, we act from a holistic perspective. We take responsibility for our actions globally and locally, we want to contribute to the quality of life and conservation of resources where we operate with new technologies, knowledge and education.
At Festo, we hire people who continuously live our five core Values:
<ul type="disc">
<li>We are Ambitious</li>
<li>We are Determined</li>
<li>We are Visionary</li>
<li>We Value Each Other</li>
<li>We are Dependable</li>
</ul>
 
This internship is a unique opportunity to work with experienced professionals in an innovative and fast-paced engineering environment. We are committed to providing our interns with hands-on, practical experience that will provide a solid foundation for continued growth in their careers.
 
 Our Research Hub in Marlborough is currently seeking for an enthusiastic Software Engineer who can start working from July 2026. As a co-op you will provide support in design and implementation of an AI platform to be integrated into a test stand of a Life Science application. Further you will perform…
 
<ul>
<li>Collecting experimental data to feed the machine learning solution developed and test with acquired data</li>
<li>Improving the ML model according to test data outcomes</li>
<li>Adapting the ML pipeline to changes in experimental hypothesis</li>
<li>Participate in the cross-discipline design process for system design, combining your skills with HW and SW team members to arrive at integrated effective system designs</li>
</ul>
<ul>
<li>Development of front end applications for pilot runs of the proof of concept</li>
<li>Support positive team interactions to accomplish program objectives</li>
<li>Contributing to schedule &amp; milestone commitments based on an agile framework</li>
</ul>
 
Qualifications
<ul>
<li>Enrolled in bachelor’s or master's degree in Computer Engineering, Robotics, Electrical or Software Engineering</li>
<li>Strong analytical/problem solving skills and ability to use statistical tools and techniques</li>
<li>Comfortable with supporting in data preparation and creation of deep learning models</li>
</ul>
 
 
Additional Requirements
<ul>
<li>Ability to work in team-based environment and ideally having knowledge in these topics</li>
<li>Working knowledge of machine learning libraries and frameworks such as Numpy, Panda Tensorflow /Pytorch, Sci-kit Learn</li>
</ul>
<ul>
<li>Familiarity with machine learning mathematical models like SVM, Linear Regression, Decision Trees, Neural Networks, etc.</li>
</ul>
<ul>
<li>Moderate to high proficiency in Python. Knowledge of algorithms and data structure</li>
<li>Proficiency in Visual Studio and preferred text editor for Python</li>
<li>Familiarity with source control systems for example Git and Github</li>
</ul>
<ul>
<li>A plus is knowledge of interfacing sensors/hardware with microcontrollers like Raspberry Pi, STM 32, Arduino, etc.</li>
<li>Familiarity with computer interface protocols for example Serial (RS232/RS485), I2C and SPI, and USB as well as Ethernet communications protocols such as TCP/IP, Modbus and HTTP to communicate between PC's/mobile devices and embedded systems using Python and/or C++ scripts</li>
<li>Self-motivating</li>
</ul>

Engineering Intern - Software Machine & Operations (Marlborough, US, 01752)

Engineering Intern

Enrolled in bachelor’s or master’s in computer/robotics/electrical/software engineering; strong analytical skills; experience with ML data prep and modeling.

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