Computational Biology Post Doctorate Fellow, Biomarker Department
About The Position
We are seeking a highly motivated and outstanding individual to join our Biomarker group as a Postdoctoral Fellow. The Biomarker group develops, supports, and implements the biomarker strategy to support the wholly owned Ionis pipeline. This individual will be working with external collaborators and cross-functional teams to access and analyze proteomic and EEG data to support biomarker identification for neurology programs. They will be responsible for 1) aggregating and harmonizing existing proteomic and EEG datasets, 2) building and utilizing (coding) analysis pipelines (including using languages such as R and Python), and 3) confirming findings in validation cohorts as well as with targeted assays. Additionally, the individual will be responsible for sharing relevant findings with stakeholders within Ionis as well as presenting data in team meetings and larger organizational meetings. The candidate must have a strong computational biology background and scientific experience with multimodal/omics data. The candidate should also have strong critical thinking and communication skills for presenting cross-functionally.
Requirements
- Bioinformatician with PhD in computational biology or related field
- Critical-thinking and problem-solving skills with attention to detail.
- Experience devising, designing, and executing scientific experiments and projects
- Expected experience includes working with multi-modal omics datasets and large proteomic datasets (O-link, untargeted LC-MS data, etc), evidenced by high-impact publications
- Applicants should be proficient in R, Python or another appropriate programming language for analysis of processed proteomics data (e.g. SomaScan, label-free or TMT mass spectrometry), including data wrangling, QC, normalization, and differential protein abundance testing
- Ability to multi-task and manage several projects in parallel
- Work collaboratively and productively in fast-paced cross-functional teams
- Excellent communicator who is comfortable presenting in cross-functional meetings and maintaining open and effective lines of dialogue, addressing problems and collaborating constructively with team members
- Must be organized, adaptive, and detail oriented, with the ability to multitask, and manage multiple tasks in parallel with competing priorities
- Proven ability of being productive and successful in an intense work environment
- Candidate must be in San Diego or willing to relocate (fully onsite or hybrid)
- Travel minimal 0-10%
Nice To Haves
- Degree and/or background working on neurological diseases and/or biomarker discovery would be a plus.
- Experience handling EEG data is not required.
- Experience with packages such as tidyverse , MSstats , DEP2 , pandas , numpy , and scikit-learn , as well as pathway and network analysis tools (e.g. GSEA/fgsea, clusterProfiler), is highly desirable
- Running assays such as targeted protein ELISAs to validate computational findings
Responsibilities
- Responsible for working with collaborators and within the Biomarker group to access, harmonize, and analyze various proteomics data as well as EEG data
- Independently design and deploy computational pipelines to process and analyze proteomics and EEG data
- Communicate in an effective and timely manner with team members regarding project status, timelines, and analysis updates
- Integrate findings from omics datasets to support Ionis programs
- Participate in Ionis collaborations to access and contribute to additional datasets for application to related projects
Benefits
- Ionis offers an excellent benefits package!
- Full Benefits Link: https://www.ionis.com/careers/working-at-ionis/#:~:text=our employee spotlight-,Benefits,-Employees are rewarded
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
