The scoreboard, and what is not on it. The hard targets, how often each is actually
looked at, and the quiet signals that never reach a dashboard.
Novel Target Identification Rate
Number of novel drug targets or diagnostic biomarkers identified by your team that progress to validation in the lab.
Target · Identify ≥2 novel targets/biomarkers per year that are advanced for further lab validation. In Q2, your team's RNA-seq analysis of patient samples identified two previously unrecognised genes strongly associated with disease progression, which are now being actively investigated by the in-vitro biology team.
Cloud Compute Cost Optimisation
Reduction in the average cloud compute cost per genome or per RNA-seq sample analysed by your team.
Target · Reduce compute cost per sample by 25% year-on-year through architectural improvements and efficient pipeline design. After implementing a new container orchestration strategy and optimising Nextflow pipeline parameters, your team brought down the cost of whole-exome sequencing analysis from £30 to £22 per sample in Q3, saving the company roughly £50K that quarter.
Team Skill Matrix Growth
Overall improvement in your team's proficiency across key technical and domain skills, as measured by our internal skill matrix assessments.
Target · Increase the team's average skill matrix score by 10% annually, focusing on emerging technologies like long-read sequencing analysis or advanced machine learning. Following your push for team-wide training in Snakemake and containerisation, the average proficiency score for 'Pipeline Development' increased from 3.2 to 3.8 across your team in the last 6 months.
Project Delivery Reliability
Percentage of major analysis projects delivered by your team on or before their agreed-upon deadlines, meeting all scientific requirements.
Target · Successfully deliver 90%+ of all major analysis projects on time and to specification. Out of 12 major analysis projects in the last quarter (e.g., a large-scale GWAS, a multi-omics integration study), 11 were delivered on schedule, with the one delay due to an unavoidable external data issue, not an internal team bottleneck.
Strategic Influence & Technical Authority
Your ability to shape the organisation's genomics data strategy, influence senior leadership decisions, and be recognised as the ultimate technical authority in your domain.
- You're regularly consulted by the SVP of R&D on new technology investments. Your proposals for new analytical platforms are typically adopted. You're asked to represent the company at industry conferences or in discussions with key academic partners. People come to you for the definitive answer on complex genomics data challenges, not just for a quick opinion.
Team Leadership & Development
The effectiveness of your leadership in fostering a high-performing, collaborative, and technically excellent team, and your commitment to their individual growth.
- Your team members consistently report high job satisfaction and feel supported in their career development. You have a strong track record of promoting from within and successfully onboarding new talent. Your team's output is consistently high quality, and they proactively identify and solve problems without constant oversight. You're seen as a mentor and advocate by your direct reports.
Cross-Functional Collaboration
How well you and your team work with other departments—like wet lab scientists, clinical teams, and IT—to ensure seamless data flow and effective communication of results.
- You're proactively involved in early-stage research planning meetings, not just brought in when data needs analysing. Other department heads praise your team's responsiveness and clarity in communicating complex findings. You've established clear data transfer protocols that reduce friction between lab and computational teams. You can get different teams on the same page about data standards.
Innovation & Future-Proofing
Your ability to identify and integrate emerging technologies and methodologies into our genomics data analysis capabilities, keeping us ahead of the curve.
- You've successfully piloted and integrated a new analysis tool or platform (e.g., a novel long-read assembler, a single-cell analysis framework) that significantly improved our capabilities. You regularly propose and lead initiatives to explore new data types or analytical approaches. Your team's pipelines are designed with future scalability and adaptability in mind, not just for the current project.
