Computational Immunologist/ Machine Learning Scientist/ Biostatistician

Second Renaissance; Delaware; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading biomedical organization is seeking a Computational Biologist/Machine Learning Scientist/Biostatistician to develop innovative methodologies for analyzing large-scale biological datasets. The ideal candidate will have a Ph.D. in a related field and a strong background in computational modeling, machine learning, and Python, working in a supportive environment with potential for international collaboration and meaningful contributions to advancing healthcare.

Benefits

Competitive compensation

Excellent health insurance

Generous time off and paid holidays

Supportive learning environment

Opportunity for high-impact research

Contribution to publications

Qualifications

• Doctorate in relevant computational fields is a must.
• Proven experience in developing computational analyses for biological datasets.
• Strong proficiency in Python and high-performance computing.

Responsibilities

• Develop mathematical and machine learning approaches for biological data.
• Prepare large-scale datasets for analysis and research.
• Conduct deep analyses for data-intensive experiments.

Skills

Mathematical modeling

Machine learning

Computational analysis

Python

High-performance computing

Reproducible research

Education

Ph.D. in computational biology

Ph.D. in physics

Ph.D. in mathematics

Ph.D. in statistics

Ph.D. in computer science

Tools

Git

Jupyter

Docker

Job description

IMPRINT is a biomedical Focused Research Organization (FRO) studying the hidden causes of chronic disease, especially autoimmune and psychiatric disorders. Our work involves cutting-edge research at the intersection of immunology, neuroscience, and behavior.

We are looking for a Computational Biologist/Machine Learning Scientist/Biostatistician with experience in the computational modeling and analysis of large-scale biological datasets, preferably with expertise in structural models or experience in user interactions. The successful candidate will develop novel mathematical, simulation, and machine-learning methods to advance the understanding of adaptive immune receptor repertoires. You will work closely with other computational and experimental scientists to develop groundbreaking new insights into adaptive immunity.

It would be ideal for the candidate to be based in Germany or elsewhere in Europe, since the majority of the computational team is based there, but we are open to exceptional candidates in the US and Canada.

### Primary Responsibilities

- Develop mathematical, computational, and machine learning approaches for modeling large-scale immune receptor sequence and/or structural data

• Perform deep and detailed analyses for data-intensive experiments
• Prepare large-scale datasets for internal and external usage
• Expand own knowledge base with new methods and concepts to tackle evolving research questions and demands for collaboration
  
  ### Qualifications
  
  - Ph.D. in computational biology, physics, mathematics, statistics, computer science, or related fields is required
• Proven track record of developing computational analyses for biological data
• Background in machine learning
• Proficiency with Python, associated analyses and visualization packages, as well as command line
• Proficiency in high-performance computing
• Proficiency with good practices for reproducible research (git, Jupyter)
  
  ### Preferred Qualifications
  
  - Expertise with sc-RNAseq data
• Expertise in immunology
• Expertise in immune receptor biology and data analysis
• Expertise in structural models
• Experience with cloud computing platforms
• Experience with Docker
• Experience with user interactions
  
  ### Benefits
  
  - Competitive compensation: $90,000 - $120,000 a year (salary commensurate with relevant experience and adjusted for location)
• Excellent medical, dental, and vision insurance for US- based candidates; benefits for INTL employees vary by country
• Generous time off + paid holidays
• A supportive environment to learn and develop new skills
• An opportunity to participate in high-impact, fast-paced, cutting-edge, collaborative team science; contribute to curing disease; and work with leading experts from different fields
• The opportunity to contribute to scientific publications
  
  ### Location
  
  - Work remotely or hybrid from within Europe or the US, depending on candidate location. Will require international travel as needed for team meetings and other business purposes.
  
  $90,000 - $120,000 a year