Research Associate in Biological Sciences

Location
Massachusetts, United States
Posted
17 Sep 2018
End of advertisement period
17 Nov 2018
Ref
14485
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Permanent
Hours
Full Time

Biological Engineering, to join the research group of Professor Ernest Fraenkel and participate in an unprecedented study of the neurodegenerative disease ALS. Working with researchers at clinical and academic institutions across the United States, data will be gathered on approximately 1,000 ALS patients and controls. Induced pluripotent stem cell (iPSC) lines are being derived from each individual and these are being used to generate motor neurons for a wide range of omic studies.

The collaboration seeks to identify different subtypes of the disease, identify correlations between molecular pathways and clinical symptoms, and propose therapeutic strategies. Will be responsible for generation of epigenomic data from these patient-derived iPSC lines; work closely with collaborators to coordinate the study; and work closely with the in-house computational biology team, which is integrating omic and clinical data.

Will also take a leading role in deriving hypotheses from the computational analyses and designing follow up experiments using the iPSC lines and post-mortem tissue.

Job Requirements

REQUIRED: Ph.D. in biological sciences or related field; minimum of two years’ experience with next-generation sequencing technologies, especially ATAC-Seq and ChIP-Seq; experience with mammalian cell culture and epigenetic methods; knowledge of neurobiology; excellent communication, organizational, and planning skills; self-motivation; detail-orientation; and ability to work both independently and as part of a team, follow complex instructions, multitask, carefully document work in written records, exercise good judgement and discretion with confidential information, and work in a fast-paced and dynamic research environment. Experience with culturing induced pluripotent stem cells (IPSCs), CRISPR/Cas9 and RNA interference, and high-throughput automation preferred; as are basic data management and statistical analysis skills.

Must be able to work some nights and weekends to meet project deadlines.  

Ability to travel to off-site meetings within the United States to meet with project sponsors and collaborators is required. 

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

Similar jobs

Similar jobs