Careers

We are here for one reason – to apply our expertise, passion, and creativity to improve the lives of people with serious diseases. We work collaboratively and relentlessly, thinking across traditional boundaries to help shape the frontiers of drug development.

 

We cultivate a collaborative work environment fully aware that our scientists are our most valuable resource. Driven by an experienced and passionate team, we are a vibrant organization shaped by the challenges we take on, and marked by a decidedly non-dogmatic approach for meeting them.

 

Care to join us?

 

 




Computational Biology / Statistical Genetics / Genomics

 

About the position

Experience analyzing high-dimensional data (gene expression/RNA-seq, SNPs/SNVs, WES, WGS, and proteomic data), using computational methods to facilitate the development of new medicines and understand clinical cohorts. Experience with variant calling and interpretation. Ability to apply learning methods and regression analyses of genetic / genomic data to continuous and categorical responses or phenotypes.

 

Job Responsibilities

  • Analyze and interpret data such as gene expression, SNPs, NGS (RNA-Seq, WES/WGS), proteomic data, and clinical metadata from both a biological and clinical perspective
  • Collaborate with colleagues to develop innovative analysis methods and algorithms that solve complex computational research problems
  • Present scientific material (written and oral) to diverse audiences

Minimum Qualifications

  • PhD in Computational Biology, Biostatistics or a related field (i.e., Biology, Engineering, Computer Science, Mathematics, Bioinformatics, Statistics) or 5+ years of work experience at a leading computational biology focused institution
  • An equivalent combination of education and experience may be accepted as a satisfactory substitute for the specific education and experience listed above
  • Proven ability to work independently as well as contribute to larger initiatives
  • Effective English communication skills (both written and oral)
  • Proficient in at least one of R, Python, MATLAB, or a similar language

 

Preferred Additional Qualifications

  • Postdoctoral experience in a top lab using computational biology and/or biostatistics
  • Broad and deep understanding of genetics, proteomics, and/or genomics as documented by a strong publication record in high-impact journals
  • Strong experience in scientific communication;  excellent writing and presentation skills
  • Demonstrated experience developing novel algorithms to address complex scientific problems
  • Proficient in R
  • Hands-on experience with samtools, IGV, GATK, bwa or similar, RSEM or similar
  • Experience applying machine learning approaches to analysis of heterogeneous clinical and pre-clinical data

 

Expanding the impact of genomic data on drug development

 

About the position

We are seeking computational biologists excited about applying their expertise, passion, and creativity to improve the lives of people with serious diseases. Working in close collaboration with your Immuneering colleagues and with world-class R&D teams at leading pharmaceutical companies, you will join an intense and highly iterative effort to facilitate the development of new medicines for diseases including neurodegeneration and cancer. You will see projects through from start to finish: experimental design, analysis of raw data, identifying biological mechanisms, refining and testing hypotheses, and publishing and presenting the findings. Candidates should have PhD or postdoctoral experience elucidating biological insight from high-throughput molecular-level data and/or applying statistical and machine learning methodologies to such data. Experience with oncology, CNS or neurodegenerative disease, or with the drug development process, is a plus.

 

Job Responsibilities

  • Analyze data such as gene expression, SNPs, NGS (RNA-Seq, exome, and whole genome sequencing), proteomic data, and clinical metadata
  • Apply statistical insights to develop innovative analysis methods and algorithms for biological data
  • Collaborate with colleagues to solve complex computational research problems
  • Interpret data from a biological and clinical perspective
  • Present scientific material (written and oral) to diverse audiences

Qualifications

  • PhD in Computational Biology, Statistics, or a related field (i.e., Biology, Engineering, Computer Science, Mathematics, Bioinformatics, Neuroscience) or 5+ years of work experience at a leading computational biology focused institution
  • Experience working with RNA-Seq, microarray, SNP, exome or whole genome sequencing, or other high-throughput molecular data
  • Proven ability to work independently as well as contribute to larger initiatives
  • Strong experience in scientific communication, excellent writing and presentation skills
  • Extensive experience working in R or a similar language