Computational Biologist & Project Manager in Genomics; Biostatistician

Overview

The Engreitz and Kundaje Labs are seeking a Computational Biologist / Project Manager (Biostatistician
2) to join the Department of Genetics to map the regulatory wiring of the human genome to discover genetic mechanisms of disease. The position is open, and a successful candidate could join immediately.

Lab overview: DNA regulatory elements in the human genome harbor thousands of genetic risk variants for common and rare diseases and could reveal targets for therapeutics that aim to precisely tune cellular functions. The labs have developed new experimental approaches and computational methods to map regulatory wiring at massive scale using single-cell genomics, CRISPR perturbations, and machine learning to assemble regulatory maps of the genome and uncover mechanisms of complex diseases.

For more information and recent work, see https://(Use the "Apply for this Job" box below). and .

Project overview:
We aim to develop and apply computational models to interpret the function of any noncoding variant or protein-coding gene in the human genome across many human cell types. This work is conducted within two NIH-funded Consortia, MorPhiC and IGVF. This position will involve improving predictive models of variants, enhancers, and genes and applying them to large single-cell and CRISPR datasets to create a comprehensive catalog of the regulatory wiring of the genome.

We are looking for creative and passionate people at any stage in their careers, including computational biologists, bioinformaticians and software engineers who will train to lead and design team science computational projects that push the boundaries of genomic technology and reveal the functions of genetic elements associated with human diseases.

Our laboratories are co-located in the Department of Genetics and Biomedical Innovations Building at Stanford University. The department is a dynamic, interdisciplinary workplace with access to cutting-edge technologies and scientific thought, and a commitment to diversity of values, backgrounds, and approaches to problem-solving.

• Apply state-of-the-art machine learning models to large datasets, including single-cell and Perturb-seq datasets
• Interpret model performance and results
• Develop standards and pipelines to enable expansion of such analyses across additional datasets
• Interface with collaborators at Stanford and collaborating labs to design and produce key methods and data analysis products
• Track and manage contributions by lab members to consortium activities
• Design and implement generalizable algorithms and tools for analysis of biological data, including high-throughput functional genomics assays
• Evaluate and recommend new emerging technologies, approaches, and problems
• Create scientifically rigorous visualizations, communications, and presentations of results
• Contribute to generation of protocols, publications, and intellectual property
• Maintain and organize computational infrastructure and resources
• Other duties may also be assigned

• Required:
  
  M.S. or Ph.D. in computational biology, genetics, computer science, statistics, math, molecular biology, or related field, or equivalent practical experience. Talented applicants of all levels are encouraged to apply.
• Demonstrated expertise in statistical methods in data analysis, preferably with applications to high-throughput sequencing or other biological assays
• Experience with data analysis and management, workflow management
• Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java)
• Strong knowledge of molecular biology and functional genomics
• Mentor and train other lab members in computational biology and statistics
• Excellent communication, organization, and time management skills
• Creative, organized, motivated, team player
• A passion for science and sense of urgency to find new medicines to benefit patients

Master's degree in biostatistics, statistics or related field and at least 3 years of experience.

• Proficient in at least two of R, SAS, SPSS, or STATA
• Skills in descriptive analysis, modeling of data, and graphic interfaces
• Outstanding ability to communicate technical information to both technical and non-technical audiences
• Demonstrated excellence in at least one area of expertise, which may include coordinating studies; statistical methodology such as missing data, survival analysis, statistical genetics, or informatics; statistical computing; database design (e.g., RedCAP or MySQL); graphical techniques (e.g., Illustrator)

None

• Frequently perform desk-based computer tasks, seated work and use light/ fine grasping
• Occasionally stand, walk, and write by hand, lift, carry, push/pull objects up to 10 pounds
• Reasonable accommodations will be provided to qualified applicants with disabilities as needed

May work extended or non-standard hours based on…