STEM OPT Python Engineer Jobs
Python Engineer roles qualify for STEM OPT because they require a STEM degree in computer science, software engineering, or a related field. Your 24-month STEM OPT extension is available once your employer enrolls in E-Verify and your DSO updates your I-20. That gives you up to 36 months total to work and build toward H-1B sponsorship.
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Get Access To All JobsINTRODUCTION
EPAM is seeking a skilled Senior AI Python Engineer to join our Life Sciences and Healthcare projects, focusing on bioinformatics and data-driven solutions.
This role is well-suited for engineers passionate about using Python, AI, and analytics to address challenges in biology and biomedicine.
You will contribute to impactful projects with global pharmaceutical, biotech, and healthcare companies, working on solutions in bioinformatics, computational biology, genomics, and AI-enhanced drug discovery. You will participate in developing cloud-native platforms to process large-scale biomedical data, support research and drug development, and enable data-driven decision-making in regulated settings.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
Responsibilities
- Design, architect, and develop cloud-native, AI-driven solutions for Life Sciences using Python
- Build, optimize, and maintain data processing pipelines for large-scale biological and biomedical datasets (genomics, transcriptomics, proteomics, clinical data)
- Support the integration and application of Generative AI solutions, including LLMs and RAG, in bioinformatics and drug discovery workflows
- Utilize computational and statistical techniques for high-throughput biological data, including sequence-based and omics data
- Collaborate with bioinformaticians, computational biologists, data scientists, and domain experts to implement technical solutions based on scientific requirements
- Facilitate technical improvements, review code, and ensure high-quality documentation and maintainability
- Enhance AI components within client solutions and EPAM in-house platforms while following best practices for development processes
- Tackle challenges around data scale, security, and performance in computational life sciences applications
- Stay up to date with emerging trends in Life Sciences, AI, and cloud technologies, actively driving innovation within projects and teams
REQUIREMENTS
- 3+ years of experience in Python software engineering, along with practical exposure to Life Sciences, Healthcare, Bioinformatics, Computational Biology, or related domains
- Proficiency in Python and modern web/API frameworks (Django, Flask, FastAPI)
- Experience with scientific and analytical Python libraries (NumPy, Pandas, SciPy, scikit-learn) and/or a relevant M.Sc. or Ph.D. in Bioinformatics, Computational Biology, or a related quantitative field
- Exposure to handling biological, biomedical, or clinical data, including NGS, transcriptomics, proteomics, multi-omics, or genomic data formats (FASTQ, BAM, VCF)
- Familiarity with integrating AI / ML models into production systems in data-intensive or regulated contexts
- Strong understanding of software design principles, data structures, and algorithms
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Strong analytical and problem-solving skills, with the ability to contribute to technical discussions and solution design
- Excellent communication skills and experience working in cross-functional, international teams
- Fluency in English (both written and spoken) at a minimum B2 level
WE OFFER
- We connect like-minded people
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- We invest in your growth
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning and Udemy
- Free English classes with certified teachers
- We cover it all
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Five trust days per year (sick leave without a medical certificate)
- Benefits package (sports activities, a variety of stores and services)
EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.
INTRODUCTION
EPAM is seeking a skilled Senior AI Python Engineer to join our Life Sciences and Healthcare projects, focusing on bioinformatics and data-driven solutions.
This role is well-suited for engineers passionate about using Python, AI, and analytics to address challenges in biology and biomedicine.
You will contribute to impactful projects with global pharmaceutical, biotech, and healthcare companies, working on solutions in bioinformatics, computational biology, genomics, and AI-enhanced drug discovery. You will participate in developing cloud-native platforms to process large-scale biomedical data, support research and drug development, and enable data-driven decision-making in regulated settings.
Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.
Responsibilities
- Design, architect, and develop cloud-native, AI-driven solutions for Life Sciences using Python
- Build, optimize, and maintain data processing pipelines for large-scale biological and biomedical datasets (genomics, transcriptomics, proteomics, clinical data)
- Support the integration and application of Generative AI solutions, including LLMs and RAG, in bioinformatics and drug discovery workflows
- Utilize computational and statistical techniques for high-throughput biological data, including sequence-based and omics data
- Collaborate with bioinformaticians, computational biologists, data scientists, and domain experts to implement technical solutions based on scientific requirements
- Facilitate technical improvements, review code, and ensure high-quality documentation and maintainability
- Enhance AI components within client solutions and EPAM in-house platforms while following best practices for development processes
- Tackle challenges around data scale, security, and performance in computational life sciences applications
- Stay up to date with emerging trends in Life Sciences, AI, and cloud technologies, actively driving innovation within projects and teams
REQUIREMENTS
- 3+ years of experience in Python software engineering, along with practical exposure to Life Sciences, Healthcare, Bioinformatics, Computational Biology, or related domains
- Proficiency in Python and modern web/API frameworks (Django, Flask, FastAPI)
- Experience with scientific and analytical Python libraries (NumPy, Pandas, SciPy, scikit-learn) and/or a relevant M.Sc. or Ph.D. in Bioinformatics, Computational Biology, or a related quantitative field
- Exposure to handling biological, biomedical, or clinical data, including NGS, transcriptomics, proteomics, multi-omics, or genomic data formats (FASTQ, BAM, VCF)
- Familiarity with integrating AI / ML models into production systems in data-intensive or regulated contexts
- Strong understanding of software design principles, data structures, and algorithms
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Strong analytical and problem-solving skills, with the ability to contribute to technical discussions and solution design
- Excellent communication skills and experience working in cross-functional, international teams
- Fluency in English (both written and spoken) at a minimum B2 level
WE OFFER
- We connect like-minded people
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- We invest in your growth
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning and Udemy
- Free English classes with certified teachers
- We cover it all
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Five trust days per year (sick leave without a medical certificate)
- Benefits package (sports activities, a variety of stores and services)
EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Python Engineer
Verify your degree qualifies by CIP code
Check your degree's CIP code against the DHS STEM Designated Degree Program List before applying. Computer science, information systems, and software engineering CIP codes all qualify, but interdisciplinary or applied programs sometimes don't, and catching this early prevents a denied extension.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers to confirm their E-Verify company ID during the offer stage, not after. Employers can look enrolled but have lapsed accounts, and USCIS won't approve your STEM OPT extension if your employer's E-Verify participation isn't active on your start date.
Target employers with active H-1B LCA filings
Search Migrate Mate to filter Python Engineer roles by employers who have filed H-1B Labor Condition Applications. Employers with recent LCA history have already built the internal process to support work authorization transitions, which matters when your STEM OPT window closes.
Build your I-983 training plan around deliverables
Your I-983 training agreement must connect your Python work to your STEM degree field with specific learning objectives. Vague descriptions like 'software development tasks' get flagged during ICE audits. Tie each goal to a concrete deliverable, such as a production API, data pipeline, or model deployment.
File your STEM OPT extension 90 days before OPT expires
Submit your I-765 extension application to USCIS no later than 90 days before your current OPT EAD expires. If USCIS doesn't adjudicate in time, your cap-gap protection only applies if an H-1B petition is already pending, so timing the filing early reduces your exposure.
Use OFLC Wage Search to benchmark your offer wage
Python Engineer prevailing wages vary by experience level and metro area. Pull the wage level for your SOC code using the OFLC Wage Search before negotiating, so you know whether your offer meets the DOL threshold your employer will certify on the LCA when filing your H-1B.
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Find Python Engineer JobsFrequently Asked Questions
Does a Python Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, software engineering, information technology, or mathematics, and your role involves applying that training. USCIS evaluates whether the job is directly related to your degree field, not just the job title. Roles involving data pipelines, backend systems, or machine learning models typically satisfy that connection for STEM-trained engineers.
Does my employer need to be enrolled in E-Verify to hire me on STEM OPT?
Yes. E-Verify enrollment is a strict requirement for STEM OPT. Your employer must be actively enrolled and in good standing with E-Verify on your employment start date. Ask for your employer's E-Verify company ID and confirm it directly with the E-Verify program before signing an offer. Without this, USCIS will deny your extension application regardless of your eligibility.
What goes into the I-983 training plan for a Python Engineer?
The I-983 requires a detailed training plan that maps your Python Engineering work to your STEM degree field. You'll need to list specific learning objectives, the skills you'll develop, and measurable outcomes tied to your role. For a Python Engineer, this typically means documenting how your work on APIs, automation, data processing, or software architecture applies concepts from your computer science or engineering coursework.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your employer files an H-1B petition before your STEM OPT EAD expires and it's selected in the lottery, cap-gap protection automatically extends your work authorization through September 30 of that year. Your status remains valid even if your EAD physically expires. You can continue working as a Python Engineer during this window without a new EAD, as long as the H-1B petition remains pending or approved.
Where can I find Python Engineer jobs that are open to STEM OPT students?
Migrate Mate lists Python Engineer roles filtered by employers with active H-1B LCA filing history, which identifies companies already set up to support work authorization. Because STEM OPT requires E-Verify enrollment, targeting employers with demonstrated sponsorship history reduces the risk of accepting an offer from a company that can't actually support your status extension or future H-1B transition.
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