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Playbooks, guides and real case studies on hiring and building teams in technology and life sciences. Written from the searches we actually run.
The library
Everyone claims AI. Few have shipped it.
A practical guide to hiring AI and machine learning talent: GenAI and LLM engineers, MLOps, NLP, computer vision and applied ML, and how to tell shipped experience from hype.
Hiring Guide · TechnologyEngineers who build to last.
A guide to hiring software engineers across the stack, frontend, backend, full-stack, mobile and platform, at pace without lowering the bar.
Hiring Guide · TechnologyThe people who make data trustworthy.
A guide to hiring data talent: data engineers, analytics engineers, BI, data platform and architecture, and what separates pipelines that last from ones that break.
Hiring Guide · TechnologyCloud hires that pay for themselves.
A guide to hiring cloud and infrastructure talent: cloud architects, platform and infrastructure engineers across AWS, Azure and GCP, built for scale and reliability.
Hiring Guide · TechnologySecurity that protects without friction.
A guide to hiring cybersecurity talent: application, cloud and infrastructure security, IAM, GRC, SecOps and offensive security.
Hiring Guide · TechnologyQuality is a mindset, not a gate.
A guide to hiring QA and test engineers: automation, SDET, performance and quality engineering.
Hiring Guide · TechnologyShip fast, and stay up.
A guide to hiring DevOps and SRE talent: CI/CD, site reliability, release, observability and platform reliability.
Hiring Guide · TechnologyOutcomes, not output.
A guide to hiring product and design talent: product management, UX/UI design, product design and research.
Hiring Guide · TechnologyCoordination that actually ships.
A guide to hiring program and delivery talent: technical program managers, delivery managers, scrum masters and PMO.
Hiring Guide · Life SciencesProving value, not just efficacy.
A guide to hiring HEOR talent: health economists, outcomes researchers and modellers who prove the value of a therapy to payers and HTA bodies.
Hiring Guide · Life SciencesEvidence from the real world.
A guide to hiring RWE talent: scientists, epidemiologists and data scientists who turn real-world data into evidence payers and regulators trust.
Hiring Guide · Life SciencesThe evidence behind the submission.
A guide to hiring evidence synthesis talent: systematic review, meta-analysis, network meta-analysis and HTA specialists who build the case for access.
Hiring Guide · Life SciencesSafety that scales with the pipeline.
A guide to hiring pharmacovigilance and drug safety talent: case processing, signal management, risk management and QPPV roles across regions.
Hiring Guide · Life SciencesWhere biology meets code.
A guide to hiring bioinformatics talent: genomics, NGS pipelines, computational biology and multi-omics specialists who are fluent in both biology and code.
Hiring Guide · Life SciencesThe numbers behind the trial.
A guide to hiring biostatistics talent: clinical biostatisticians and statistical programmers (SAS/R, CDISC) who stand behind the trial and the submission.
Hiring Guide · Life SciencesFrom approved to reimbursed.
A guide to hiring market access talent: pricing, reimbursement, payer strategy and HTA specialists who turn regulatory approval into real access.
Hiring Guide · Life SciencesThe scientific voice of the business.
A guide to hiring medical affairs and medical writing talent: MSLs, medical writers, medical information and medical monitoring specialists.
Hiring Guide · Life SciencesWhere trials actually run.
A guide to hiring clinical operations and clinical data talent: CRAs, trial managers, clinical project managers and clinical data managers.
Hiring Guide · Life SciencesCompliance that is built in.
A guide to hiring quality and GxP talent: GMP/GCP quality, quality control, computer system validation (CSV) and auditing specialists.
Playbook · Life SciencesThe hardest hire in life sciences.
Where CMC, labelling and submissions specialists actually sit, and how to reach them discreetly.
Guide · TechnologyStanding up a product engineering team at pace
Sequencing the leadership hire and the team build so neither one waits on the other.
StrategyWhy a Talent Reserve beats a faster search
The economics of being ready, versus the cost of starting cold every time you grow.
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