Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning A ... NLP/large language models; or precision medicine 2. Strong programming skills in Python, R, SQL, or ...
Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning A ... NLP/large language models; or precision medicine 2. Strong programming skills in Python, R, SQL, or ...
Postdoc Python information
See Lafayette, IN salary details
$12.72 - $19.11
1% of jobs
$19.11 - $25.50
0% of jobs
$25.50 - $31.90
2% of jobs
$31.90 - $38.29
5% of jobs
$38.29 - $44.68
11% of jobs
$46.56 is the 25th percentile. Wages below this are outliers.
$44.68 - $51.07
18% of jobs
The median wage is $54.41 / hr.
$51.07 - $57.46
24% of jobs
$62.35 is the 75th percentile. Wages above this are outliers.
$57.46 - $63.85
18% of jobs
$63.85 - $70.25
13% of jobs
$70.25 - $76.64
5% of jobs
$76.64 - $83.03
3% of jobs
$12
$56
$83
How much do postdoc python jobs pay per hour?
As of Aug 17, 2026, the average hourly pay for postdoc python in Lafayette, IN is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $64.09 per hour, depending on experience, location, and employer.
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?
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 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 is the difference between Postdoc Python vs Data Scientist?
| Aspect | Postdoc Python | Data Scientist |
|---|---|---|
| Required Credentials | PhD or equivalent in relevant field, strong Python skills | Bachelor's or Master's in Data Science, Computer Science, or related field; Python skills often required |
| Work Environment | Academic or research institutions, labs | Corporate, tech companies, consulting firms |
| Industry Usage | Research projects, academic publications | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Postdoc 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.
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 job categories do people searching Postdoc Python jobs in Lafayette, IN look for?
The top searched job categories for Postdoc Python jobs in Lafayette, IN are:
What cities near Lafayette, IN are hiring for Postdoc Python jobs?
Cities near Lafayette, IN with the most Postdoc Python job openings:
Full-time
Re-posted 7 days ago
Purdue University rating
7.5
Based on 136 frontline employees who took The Breakroom Quiz
312th of 618 rated colleges and universities
Job description
Post Doc Research Associate
City: West Lafayette
Job Description:
Job Summary
Position Title: Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning
Job Description: A Postdoctoral Research Associate position is immediately available for a highly motivated, independent, and ambitious candidate in the Department of Pharmacy Practice at Purdue University College of Pharmacy (Indianapolis campus). This position offers extensive collaborative research opportunities with the Regenstrief Institute and Indiana University. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical discovery and precision therapeutics.
This position is ideal for candidates seeking advanced training and leadership opportunities in bioinformatics, pharmacogenomics, artificial intelligence, machine learning, computational drug discovery, and precision medicine.
Research Area
The postdoctoral fellow will contribute to projects in one or more of the following areas:
• Bioinformatics and computational biology
• Multi-omics data integration and analysis
• Pharmacogenomics and computational drug discovery
• Pharmacogenomics and precision medicine
• AI and machine learning applications in biomedical research
• Deep learning and predictive modeling
• Natural language processing and large language models for biomedical data
• Drug response prediction and treatment optimization
• Biomedical knowledge graphs and network medicine
• Translational data science for therapeutic discovery
Primary Responsibilities:
The Postdoctoral Research Associate is expected to lead and contribute to independent and collaborative research projects, including but not limited to:
• Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods
• Analyzing and integrating large-scale biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data
• Building computational pipelines for drug discovery, drug response prediction, therapeutic target identification, and precision therapeutics
• Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks
• Leading manuscript preparation and contributing to grant proposals and scientific dissemination
• Collaborating with multidisciplinary stakeholders, including clinicians, biomedical scientists, informaticians, and data scientists
Education
Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science, computational biology, biostatistics, pharmacogenomics, biomedical engineering, health data science, or a related discipline
Experience
1. Demonstrated research experience in one or more of the following areas: bioinformatics; pharmacogenomics; artificial intelligence; machine learning or deep learning; pharmacogenomics; computational biology; drug discovery; network medicine; NLP/large language models; or precision medicine
2. Strong programming skills in Python, R, SQL, or related languages
3. Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
4. Strong written and oral communication skills, with evidence of scholarly productivity, including peer-reviewed publications or conference presentations
5. Ability to work effectively with diverse multidisciplinary teams, including clinicians, biomedical scientists, informaticians, and data scientists
Application Materials:
Interested applicants should submit the following:
1. Curriculum Vitae
2. Cover letter explaining research interests, relevant experience, and career goals
3. Contact information for 2-3 references
Internal candidates use this link https://careers.purdue.edu/job/Postdoctoral-Research-Associate/43347-en_US/?isInternalUser=true
External candidates use this link https://careers.purdue.edu/job/Post-Doc-Research-Associate/43347-en_US/
City: West Lafayette
Job Description:
Job Summary
Position Title: Postdoctoral Research Associate - Bioinformatics, Pharmacogenomics, and AI/Machine Learning
Job Description: A Postdoctoral Research Associate position is immediately available for a highly motivated, independent, and ambitious candidate in the Department of Pharmacy Practice at Purdue University College of Pharmacy (Indianapolis campus). This position offers extensive collaborative research opportunities with the Regenstrief Institute and Indiana University. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical discovery and precision therapeutics.
This position is ideal for candidates seeking advanced training and leadership opportunities in bioinformatics, pharmacogenomics, artificial intelligence, machine learning, computational drug discovery, and precision medicine.
Research Area
The postdoctoral fellow will contribute to projects in one or more of the following areas:
• Bioinformatics and computational biology
• Multi-omics data integration and analysis
• Pharmacogenomics and computational drug discovery
• Pharmacogenomics and precision medicine
• AI and machine learning applications in biomedical research
• Deep learning and predictive modeling
• Natural language processing and large language models for biomedical data
• Drug response prediction and treatment optimization
• Biomedical knowledge graphs and network medicine
• Translational data science for therapeutic discovery
Primary Responsibilities:
The Postdoctoral Research Associate is expected to lead and contribute to independent and collaborative research projects, including but not limited to:
• Developing and applying bioinformatics, pharmacogenomics, AI, machine learning, and deep learning methods
• Analyzing and integrating large-scale biomedical datasets, including omics, pharmacogenomics, medication, drug database, ontology, knowledge graph, and clinical molecular data
• Building computational pipelines for drug discovery, drug response prediction, therapeutic target identification, and precision therapeutics
• Developing predictive models, knowledge graphs, NLP/LLM applications, and AI-enabled analytic frameworks
• Leading manuscript preparation and contributing to grant proposals and scientific dissemination
• Collaborating with multidisciplinary stakeholders, including clinicians, biomedical scientists, informaticians, and data scientists
Education
Ph.D. or equivalent degree in a related field, such as bioinformatics, biomedical informatics, computer science, computational biology, biostatistics, pharmacogenomics, biomedical engineering, health data science, or a related discipline
Experience
1. Demonstrated research experience in one or more of the following areas: bioinformatics; pharmacogenomics; artificial intelligence; machine learning or deep learning; pharmacogenomics; computational biology; drug discovery; network medicine; NLP/large language models; or precision medicine
2. Strong programming skills in Python, R, SQL, or related languages
3. Experience with omics data, pharmacogenomics data, drug databases, biomedical ontologies, knowledge graphs, or large-scale biomedical datasets is highly desirable
4. Strong written and oral communication skills, with evidence of scholarly productivity, including peer-reviewed publications or conference presentations
5. Ability to work effectively with diverse multidisciplinary teams, including clinicians, biomedical scientists, informaticians, and data scientists
Application Materials:
Interested applicants should submit the following:
1. Curriculum Vitae
2. Cover letter explaining research interests, relevant experience, and career goals
3. Contact information for 2-3 references
Internal candidates use this link https://careers.purdue.edu/job/Postdoctoral-Research-Associate/43347-en_US/?isInternalUser=true
External candidates use this link https://careers.purdue.edu/job/Post-Doc-Research-Associate/43347-en_US/
What Purdue University employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Purdue University
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
West Lafayette, IN, US
Year founded
1962