Research Scientist/ Senior Research Scientist, Precision Medicine

Aitia•Cambridge, MA

About The Position

The Research Scientist/Sr. Research Scientist will join a dynamic Precision Medicine team to apply Aitia’s powerful Causal AI platform to drug discovery and clinical development. The candidate will work closely with scientists at major biopharma and emerging drug discovery companies to deliver unique scientific insights for decision making. The candidate will be responsible to work with internal and external teams to formulate scientific questions into coherent analytical efforts for causal analysis with a variety of goals including discovering new biology, identifying potential disease targets, developing prognostic and predictive biomarkers, defining target populations for clinical trials patient stratification and predicting patient outcomes to treatment. The candidate will carry out all these projects using Aitia’s proprietary Causal AI modeling and simulation platform and synthesize these results with relevant literature and bioinformatics resources. They will communicate scientific findings to partners and collaborators and contribute to presentations at scientific conferences and publications. The company engages in a variety of disease areas, so the research scientist may work on multiple disease areas including oncology, neurology, immunology, metabolic and cardiovascular.

Requirements

Advanced degree in quantitative life sciences such as Bioinformatics, Computational Biology, Biophysics, Epidemiology or Biostatistics
Solid understanding of statistical analysis with R/Bioconductor or Python
Experience with analysis, evaluation of QC of multi-omics data, single cell data, and high-throughput screening data
Team Player willing to help and ask for help.
Excellent written and verbal communication skills.
Excellent interpersonal skills with a proven record of effective cross-disciplinary collaboration.

Nice To Haves

Experience working with advanced ML techniques, probability theory, Bayesian analytics, deep learning or causal inference methods preferred
Preferably, prior experience working with drug discovery or translational work

Responsibilities

Work as part of internal research teams to collaborate with clients to frame research questions, propose solutions, identify and QC data sources, conduct analyses and prepare reports.
Communicate technical results clearly and concisely to collaborators.
Discuss how to incorporate information into their processes and achieve high client satisfaction.
Manage and complete external facing projects of high complexity in a timeline driven manner.
Contribute to cross-team efforts (e.g. business, R&D) to build in silico patient causal AI.
Maintain expertise in state-of-the-art data science, bioinformatics and computational methods.