Computational Biology Post Doctorate Fellow, Biomarker Department

Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. We’re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs. With multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals.

At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know that our success is a direct result of the exceptional talents and dedication of our employees.

With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money and energy into making our onsite, hybrid and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive.

We’re building on our rich history, and we believe our greatest achievements are ahead of us. If you’re passionate about the opportunity to have meaningful impact on patients in need, we invite you to apply and join us. Experience and contribute to our unique culture while you develop and expand your career!

COMPUTATIONAL BIOLOGY POST DOCTORATE FELLOW

BIOMARKER DEPARTMENT

SUMMARY:

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.

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

REQUIREMENTS:

• Bioinformatician with PhD in computational biology or related field Degree and/or background working on neurological diseases and/or biomarker discovery would be a plus. Experience handling EEG data is not required.
• 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
• 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
• The following experience would be beneficial but is not essential: Running assays such as targeted protein ELISAs to validate computational findings
• 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%

Benefits

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