Associate Scientist

Our mission is to develop therapies that empower the immune system to combat neurodegeneration and our team is focused on developing treatments for some of the most challenging diseases facing our society. By harnessing advancements in genetics, immunology and neuroscience, we are pioneering the development of potential therapies to counteract the devastating progression of neurodegeneration. We are supported in this mission by experienced and accomplished scientists and clinicians, a novel portfolio of programs, leading healthcare investors, and pharma company partners, who share in our commitment to bettering the lives of patients and realizing a world where we make brain disorders history.

Alector is seeking a Senior Associate Scientist, Computational Biology, to join our dynamic team. You will play a key role in advancing our understanding of the biology underlying neurodegenerative diseases, improving our computational pipelines, and supporting the discovery of new therapeutic targets. 

In this role, you will analyze and interpret complex biological data, with a particular focus on high-content imaging and cell segmentation, alongside high-dimensional multi-omics datasets. You will collaborate with scientists across R&D to design experiments, analyze results, and translate data into meaningful biological insights, while also helping to modernize our pipelines with emerging AI and machine-learning tools. 

Key Goals & Accountabilities

• Advance image-based research! Develop, benchmark, and apply computational methods for high-content imaging, including image segmentation, feature extraction, and quantitative single-cell tracking analysis from a broad variety of samples. Evaluate and integrate deep-learning segmentation approaches to improve accuracy and throughput of our models. 

• Modernize our pipelines with AI! Identify, evaluate, and incorporate new AI and machine-learning tools into imaging and multi-omics workflows, improving automation, reproducibility, and the speed of turning raw data into insight. 

• Turn complex data into biological insights! Analyze imaging and multi-omics datasets and partner with scientists across R&D to address key biological questions and inform experimental design.  

• Make scientific data accessible! Manage and organize data from internal and published studies and develop interactive data-exploration portals for internal use.  

• Build efficient and reproducible workflows! Apply best practices in code and data management, including workflow orchestration, version control, and documentation, while identifying opportunities for continuous improvement.  

• Communicate findings clearly! Present analytical results in verbal, visual, and written formats to cross-functional audiences with varying levels of technical expertise.