Bioinformatician II

AskBio Inc. a wholly owned and independently operated subsidiary of Bayer AG is a fully integrated gene therapy company dedicated to developing life-saving medicines and changing lives. The company maintains a portfolio of clinical programs across a range of neuromuscular central nervous system cardiovascular and metabolic disease indications with a clinical-stage pipeline that includes investigational therapeutics for congestive heart failure limb-girdle muscular dystrophy multiple system atrophy Parkinsons disease and Pompe disease. AskBios gene therapy platform includes Pro10 an industry-leading proprietary cell line manufacturing process and an extensive array of capsids and promoters. With global headquarters in Research Triangle Park North Carolina and European headquarters in Edinburgh Scotland the company has generated hundreds of proprietary capsids and promoters several of which have entered pre-clinical and clinical testing.

Our vision: Pioneering science to create transformative molecular medicines.

Our mission: Lead innovative science and drive clinical outcomes to transform peoples lives.

Our principles:

• Advance innovative science by pushing boundaries.

• Bring transformative therapeutics to patients in need.

• Provide an environment for employees to reach their fullest potential.

Our values:

• Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need.

• Cultivate Collaboration. Strive to be the best teammate actively listen openly communicate and embrace diverse points of view.

• Embrace Responsibility. We are humbled by the enormity of our hold a relentless commitment to advance science and clinical outcomes for our patients families and caregivers.

• Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action.

• Act with Uncompromising Integrity. Be honest transparent and committed to doing whats right in every situation. Make clear commitments and follow through.

Position Summary

The Bioinformatician II develops and implements computational methods for analysing proprietary biological data supporting cross-functional teams with tailored bioinformatics solutions. The selected individual will have expertise in omics data analysis statistical methods and scientific programming. The role contributes to innovative computational research in gene therapy advancing AskBios platform-enabled product approach.

This position is located at our Edinburgh UK site and will report to the Senior Director Bioinformatics and Machine Learning.

Job Responsibilities

• Develop and implement computational methods and algorithms for the analysis of proprietary biological data

• Collaborate with cross-functional international teams to understand data analysis needs and provide tailored bioinformatics solutions

• Contribute to the design and optimisation of bioinformatics pipelines and workflows to improve data processing and analysis

• Stay up to date with advancements in bioinformatics machine learning and data science integrating relevant approaches into ongoing work

• Communicate findings and recommendations effectively to stakeholders including senior leadership and non-expert audiences

• Provide mentorship and guidance to junior team members fostering a culture of collaboration and learning

Minimum Requirements

• PhD in bioinformatics computational biology or a related discipline with at least 2 years of postdoctoral or industry experience OR Masters degree in bioinformatics computational biology or a related field with at least 8 years of relevant industry or research experience

• Strong programming skills in Python

• Experience in statistical analysis of DNA sequence and molecular datasets

• Proven ability to communicate complex computational analyses to both technical and non-technical audiences

• Expertise in processing and analysing omic datasets particularly next-generation sequencing (NGS) data

• Familiarity with Unix/Linux-based systems and command-line environments

Preferred Education Experience and Skills

• Experience developing computational methods for biological data analysis

• Experience working with clinical or translational research data

• Proficiency in additional data analysis languages (e.g. R MATLAB)

• Knowledge of containerisation tools such as Docker

• Familiarity with integrating multi-omics datasets

• Experience with workflow management systems such as Snakemake or Nextflow.

• Knowledge of gene therapy and its bioinformatics challenges

• Expertise in structural biology particularly in protein structure modelling interactions and computational structural analysis

• Experience contributing to cross-disciplinary and global research projects

• Familiarity with version control systems (e.g. Git) and collaborative development practices

AskBio Inc. (AskBio) is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race color religion gender sexual orientation gender identity national origin age disability veteran status or any other protected status prohibited under Federal State or local laws. All employment decisions are based on valid jobrelated requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website you may request a reasonable accommodation to express interest in a specific opening by calling us at or sending us an email at .

Agencies: Please do not contact any employee at AskBio about this requisition. Any resume submitted by a recruitment agency to any employee at AskBio through any medium will be deemed the sole property of AskBio unless the agency was engaged by AskBio Talent Acquisition team to recruit for that position. All agencies must have a prior executed service agreement with AskBio prior to any search engagement. If a candidate who was submitted outside of the AskBio agency process is hired by AskBio no fee or payment of any kind will be paid to the agency.