IGM Biosciences (Nasdaq: IGMS) is a clinical-stage biotechnology company focused on creating and developing engineered IgM antibodies. IgM antibodies have inherent properties that we believe may enable them to improve upon the efficacy and safety of IgG antibodies in multiple therapeutic applications.
We have created a proprietary IgM antibody technology platform that we believe is particularly well suited for developing T cell engagers, receptor cross-linking agonists, and targeted cytokines. Our lead product candidate, IGM-2323, is a bispecific T cell engaging IgM antibody targeting CD20 and CD3, and we have initiated a Phase 1 clinical trial for the treatment of relapsed/refractory B cell Non-Hodgkin’s lymphoma (NHL) patients in 2019. Our second product candidate is IGM-8444, an IgM antibody targeting Death Receptor 5 (DR5) for the treatment of patients with solid and hematologic malignancies, for which we have recently initiated a Phase 1 clinical trial. Also, in our product pipeline is IGM-7354, a bispecific IgM antibody delivering interleukin-15 (IL-15) cytokines to PD-L1 expressing cells for the treatment of patients with solid and hematologic malignancies.
We are looking for a Bioinformatics Research Associate with an interest in cancer biology to join our growing and friendly team during this exciting time in our expansion. The successful candidate will play an integral role in the discovery and pre-clinical development of novel immuno-oncology therapeutics. The candidate will work closely with experimentalists and use computational approaches to glean new understanding from multi-omics data.
Essential Duties and Responsibilities:
- Perform analysis and visualization for experimentalists as needed
- Wrangle, transform, and annotate data from in-house and public datasets
- Generate analytical reports and communicate results to the team
- Prototype scripts, pipelines, and methods to build in-house bioinformatics infrastructure
- Thoroughly and accurately document activities in laboratory notebooks and code repositories
Required Education, Skills, and Experience:
- MS (0-2 years experience) or BS (with 2-4 years experience) in Bioinformatics, Statistics, Computer Science/Engineering, or similar
- Fluency in Python and familiarity with R
- Proficiency with a Linux, Git, and Anaconda
- Familiarity with standard tools and data formats related to gene expression, enrichment analysis, genetic, genomic, or epigenetic data
- Highly organized with reliable time-keeping skills and able to maintain a detailed and well-organized notebook
- Excellent interpersonal and communication skills
- Ability to thrive in a fast-paced, highly collaborative, and dynamic start-up environment to tackle complex problems
Preferred Education, Skills, and Experience:
- Experience analyzing and interpreting oncology/immune-oncology omics data
- Fluency with cancer-specific consortia and public datasets including TCGA, CCLE, TARGET, and GTEx
- Ability to perform or assist with high dimensional data mining
- Experience implementing and interpreting established machine learning techniques
- Experience working in AWS (EC2, S3, and AWSCLI)
- Trained experience in algorithm development and optimization is a huge plus
One of our top priorities is to maintain the health and wellbeing of our employees and their families. To achieve this goal, we offer comprehensive benefits with a variety of options:
- Medical, dental, and vision insurance. The full premium amount for our employees and their dependents is covered by IGM
- STD, LTD, Basic Life and AD&D Insurance, Supplemental Life and AD&D Insurance
- FSA
- 401(k) Plan
- 120 hours of Paid Time Off, 5 sick days per year, 10 holidays
- Cell phone & internet subsidy
- Employee Referral Bonus Program
- Annual training budget for professional development
- Commuter Benefit
- Annual bonus program
- New hire stock options
IGM is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status, and veteran status. All qualified applicants will receive consideration for employment.
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