Senior in silico Scientist - Computational Systems Biologist

In this role you will apply AI, machine learning and systems biology approaches to advance biological discovery, developing predictive and interpretable models that analyse complex biological data and identify key genes, pathways and cellular responses. Working closely with research scientists, you will generate biological hypotheses, design and validate model-informed experiments, and continuously refine models to improve biological understanding.

We are seeking an experienced computational biologist, bioinformatician or systems biologist with a proven track record of delivering high-impact research, solving complex scientific challenges and influencing multidisciplinary teams.

The successful candidate will have recognised expertise in computational analysis of biological systems and the ability to translate complex data into actionable scientific insight. They will demonstrate strong technical leadership, effective communication skills, and experience applying innovative computational approaches to address challenging research questions within a collaborative scientific environment.

• High level of computer literacy and demonstrable experience applying computational approaches to biological research problems.
• Proficiency using Linux.
• Proficiency with scripting languages (e.g. Python, R, shell, etc.)
• Experience developing and applying statistical, machine learning or AI approaches to biological datasets.
• Experience analysing large-scale biological data, including genomic, transcriptomic, proteomic or related datasets.
• Experience developing computational workflows and analytical pipelines.
• A consistent track record of research outcomes in computational biology, bioinformatics, systems biology, machine learning or a related field.
• Experience of managing data and computational resources in an effective manner.
• Demonstration of technical leadership qualities, including leading and influencing multi-disciplinary teams, mentoring others, and delivering through effective delegation.

For more information on the job responsibilities, please see the job profile attached below.

Important Information

Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.

This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For this role Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.

We'll assess you against these behaviours during the selection process:

• Making Effective Decisions
• Delivering at Pace
• Working Together
• Developing Self and Others
• Communicating and Influencing

Benefits

Dstl’s full range of great benefits can be found in the information pack which includes:

• Financial: An excellent pension scheme starting from 26% employer contribution (find out more here). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.

• Flexible working: Options include alternative working patterns such as; compressed hours, job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).

• Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.

• Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.

• Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.

• Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid

• Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.

• Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.

Job contact :

• Name : Dstl Recruitment
• Email : dstlrecruitment@dstl.gov.uk

Recruitment team

• Email : dstlrecruitment@dstl.gov.uk

Share this page

• Print
• Email
• Gmail
• Facebook
• LinkedIn