Bioinformatician - London, United Kingdom - MultiOmic Health

Description

About MultiOmic Health

MultiOmic Health (MOH) is an AI-enabled drug discovery (AIDD) company dedicated to chronic multi-factorial diseases, with an initial focus on metabolic syndrome-related conditions.

We partner with research institutions, healthcare providers and healthtech companies to source de-identified patient data and samples.

Drawing upon these carefully selected data sources, MultiOmic's MOHSAIC platform combines integrative multi-omics analysis and computational systems biology modeling with targeted wet laboratory experiments to originate novel precision therapeutic concepts.

MultiOmic subsequently partners with established biopharma companies to take its therapeutic concepts into global clinical trial programs and market the ensuing medicines.

Its experienced leadership team blends commercial, technical and operational expertise from across the pharma, systems biology and AI/big data arenas.

The Role
Work closely as part of the
Computational Biology Team to:

• Help
  design and develop our computational platform
• Process and analyse
  large omic datasets:
• Help design and build scalable, reliable processes for
  data integration, interpretation and modeling:
• Help design
  data architecture

Work closely with our
Study Operations & Biology Team to:

• Analyse and
  interpret different, complex biological datasets, including genomic, transcriptomic, epigenomic, proteomic and metabolomic data
• Collaborate in
  study design of future projects

-
Understand findings from computational approaches and design experiments / next steps to validate and improve our findings

Competitive compensation package, including eligibility for employee stock options.


About You

• You have a
  PhD or relevant work experience in
  computational biology, computer science, systems biology or related fields
• You have
  23 years of relevant work experience or postdoc
• You have experience interpreting and using
  (a) omics data, preferably multiple modalities beyond exomebased variants,
  (b) clinical and laboratory diagnostics information from real patients, (c) strong programming skills:
• You have experience with
  cloud computing, machine learning / AI, and source code management tools (git)
• You have experience in
  planning and analysing the results of in vitro and ex vivo experiments
• Excellent
  data visualisation and communication skills (written and spoken communication within and outside the organisation)
• You're open to a
  flexible, dynamic, frequentlychanging operating environment. You like to work and engage with other professionals with different skillsets, both within and outside your organization
• Our team
  operates remotely but meets frequently. Ideally you should be living in the UK London-OxfordCambridge triangle or within easy reach of Vienna (Austria) or Munich (Germany).

Our Hiring Process

• Our hiring process consists of an evaluation of your CV followed by an
  interview process:
• We will have an initial chat followed by interviews with all the team members you will be working with and conclude with a final interview with our CEO. We want to give both of us an opportunity to get to know each other but will cluster interviews so that we can move quickly and efficiently and not take up too much of each others time
• You may be asked to give a presentation / seminar to the team follow by Q&A.
• Position is available as of
  April 2023:

Benefits:

• Work from home

Schedule:

• Monday to Friday

Ability to commute/relocate:

• London, EC1Y 1AA: reliably commute or plan to relocate before starting work (required)

Application question(s):

• Can you start immediately?
• Will you now or in the future require sponsorship for employment visa status?

Work Location:
Hybrid remote in London, EC1Y 1AA