A computational scientist working as part of joint Genomics/Bioinformatics team and directly with the scientific functional groups across the CFFT lab providing support in data analysis, experimental design, and interpretation. Works closely with the Head of Bioinformatics and the Head of NGS and Genomics on devising research strategies, designing experiments, performing data analysis and interpretation, developing analytical models and computational solutions, and implementing computational pipelines. Participates in the department’s effort in maintaining databases, software tools and solutions as required for organizing, analyzing, and integrating internal experimental data and public datasets. Understands well the biology application domain, proficient in bioinformatics tools, databases, general and numerical algorithms, and statistics. Capable of working independently and as a part of a team.
- Independently, or as part of a team, conduct computational analysis of experimental data.
- Identify and apply relevant existing analytical approaches, software tools, and solutions.
- Develop novel analytical approaches and computational solutions, implement computational pipelines.
- Analyze genomic data and Next Generation Sequencing datasets (short-read and long-read platforms, DNA-seq, bulk and single cell RNA-seq).
- Stay current on scientific literature and research advances, provide input for identification of research questions and for experimental design; play a key role in result interpretation and presentation.
- Participate in group meetings for discussion of data analysis needs and strategies.
- Prepare and present results at internal meetings.
Additional Responsibilities:
- Participate in national Great Strides and related events organized by the Foundation to help people with CF.
- Experience with Next Generation sequencing technologies and large scale genomic/transcriptomic datasets.
- Knowledge in general-purpose, numerical, and bioinformatics algorithms.
- Good analytical skills and expertise in statistics and statistical algorithms.
- Proven software development skills, proficiency in R and/or Python (including Python’s scientific libraries) preferred, shell scripting, familiarity with version control, Linux administration skills.
- Good understanding of biology and molecular biology experimental techniques (while wet lab skills are not required, understanding of cellular machinery and of experimental methods and protocols is).
- Additional desirable skills: familiarity with cloud computing platforms (AWS or Google), familiarity with HTML/JavaScript and web application server technologies.
- Excellent communication skills (verbal and written).
- Handle multiple tasks, prioritize and keep organized to ensure timely and accurate work.
- Ability to concentrate on details.
REPORTING RELATIONSHIPS:
- Sr Scientist II, Head of Bioinformatics.
WORKING CONDITIONS:
- Commute to lab every workday.
- Once a year travel to scientific or technological meeting as necessary.
- Must have access to reliable means of transportation for travel to the lab on every workday.
- Use of computer required.
- Sitting, bending, reaching, and walking.
- Ability to lift heavy objects (not to exceed 50 lbs.) for set-up of lab equipment.