Job Description
We are seeking a talented and experienced bioinformatician/computational biologist to join the computational discovery team to discover innovative targets that can serve as Ab targets for treating cancer patients. In this role, you will be responsible for developing bioinformatic tools and solutions for data analysis and workflows for this discovery process. You will work closely with an experienced multidisciplinary team of bioinformaticians, biologists and software engineers to develop the right bioinformatic tools for enable us to discover the right cure for patients.
You will be a key component in shaping our future pipeline and you will have a front row seat watching the fruits of your labor materialize into lifesaving drugs for cancer patients.
This role requires strong bioinformatic knowledge and experience in building bioinformatic infrastructure.
Basic knowledge in software development skills such as NoSQL, SQL database design, Python is an advantage.
Develop, perform and interpret quantitative analyses at the frontline of computational biology and cancer research
• Design, write and perform novel computational and statistical algorithms on biological and clinical data for drug discovery• Prepare and maintain computational tools for the use of biologists within the company• Work closely and routinely with computational scientists, biologists and immunologists• Provide support for projects utilizing such tools• Process and present the results in a clear and accessible way
Job Requirements• Ph.D. in Mathematics / Bioinformatics / Computational Biology / Physics / Computational Sciences with experience in Bioinformatics or Computational Biology• Programming skills (Required: any scientific programming language, development in UNIX environment, Advantageous: R, Perl or Python)• Ability to propose and carry out independently computational research projects• Ability to implement new algorithms, and to adopt existing ones• Experience with expression analysis or sequence analysis is an advantage• Background in statistics or in problems requiring analysis of massive data is an advantage• Ability and experience in solving problems, suggest creative approaches and innovative thinking• Ability and motivation to work in a multidisciplinary environment• Outstanding interpersonal, verbal and written communication skills• Strong collaborative skills, professionalism and commitment