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For clinical research and life-sciences employers

Hire on evidence, not on the resume.

A resume can describe capability. On its own it cannot prove it. BORAKA works with sponsors, CROs, research sites and biotech teams to name the capability a role actually needs, then read candidates against that same standard with role-realistic, human-reviewed work.

Hiring manager and colleague reviewing a candidate evidence summary on a laptop in a life-sciences office.
The problem

The signal that screening depends on has thinned.

Pick a failure mode to see why it persists, what it costs and what evidence changes about it.

What happens today

Well-written applications now arrive in volume, aligned to every keyword in the requisition.

Why it persists
Assistance with writing and editing is cheap, fast and widely available, so keyword alignment no longer separates candidates. Using it is not dishonest; it just stops the file from being a differentiator.
What it costs
Screening takes longer per hire and the shortlist looks the same from top to bottom.

What BORAKA adds

Everyone shortlisted works the same role-realistic task, so the comparison happens on work rather than on wording.

What it costs employers

The bill arrives late, in the work.

  1. 01Screening burden rises as more files look equally qualified.
  2. 02Decisions are delayed while claims are checked one by one.
  3. 03Role fit stays uncertain until the person is already in post.
  4. 04Onboarding carries capability that should have been read earlier.
  5. 05Quality and compliance exposure grows when judgment was never assessed.
  6. 06Internal mobility is missed, and capable people outside the usual profile are excluded.
Two colleagues comparing structured assessment results on a wall screen and printed rubric documents during a hiring calibration.

Calibrated review

Every reviewed result is read against the same published criteria, by a person, before it reaches a hiring conversation.

The BORAKA evidence model

Define it. Watch it happen. Read it with a person.

Six steps, agreed in writing before anyone is assessed.

  1. 01

    Define role criteria

    The open role is broken into named capability domains, and what good looks like in each is written down first.

  2. 02

    Realistic simulation

    Candidates work through a casebook or scenario built on the study context the role really operates in.

  3. 03

    Identity, context and AI-use disclosure

    Identity and working context are confirmed, and candidates disclose how assistance was used. Editing and preparation are legitimate; fabricated roles, borrowed identity, submitted work that is not theirs and hidden real-time assistance are not.

  4. 04

    Structured human review

    Every scored submission is read by a qualified reviewer against the published rubric. No automated rejection, no black-box ranking.

  5. 05

    Dated evidence with gaps and recency

    You receive what was demonstrated, what was not, when it was assessed and which rubric version was used.

  6. 06

    Interview or development decision

    The evidence targets the structured interview, or becomes the first ninety days of development. The decision stays yours.

What changes

A stronger decision signal, not a prediction.

Comparable evidence
Every assessed candidate is read against one rubric, at a known date.
Targeted interviews
Interview time goes to motivation, judgment and collaboration rather than re-establishing basics.
Clearer development priorities
The gaps you accept at offer are the gaps the first ninety days close.
A wider aperture
Adjacent and internationally trained capability becomes readable instead of filtered.
Less dependence on pedigree
Employer names and institution prestige carry less of the decision.
Capability hidden by the resume

Three patterns your filters are probably removing.

Anonymized archetypes BORAKA sees repeatedly. Each shows what a fast screen reads, what it cannot see, and the evidence that makes the difference legible.

Internationally trained physician

A physician trained in India who has decided not to pursue US clinical licensure or the USMLE route, and is looking for a non-physician pathway into clinical research. That decision is a career choice about direction, not a comment on the licensure route, which remains the right path for people who intend to practice medicine.

What the resume screen reads

  • A medical degree from an institution the screener does not recognize.
  • No US employer names, and no clinical research job titles.
  • An apparent career change, read as a gap rather than a transfer.

Capability that may be hidden

  • Protocol comprehension and clinical reasoning under an unfamiliar case.
  • Informed consent conversations with anxious patients and families.
  • Recognizing, grading and escalating an adverse event.
  • Working inside documentation and regulatory expectations already.

Evidence to build

  • A reviewed protocol interpretation casebook.
  • A safety and deviation reporting exercise scored against a published rubric.
  • A source documentation exercise showing contemporaneous, attributable records.

A realistic next pathway

Coordinator, safety, medical writing or study start-up roles are the routes most often discussed with this background. Which of them is realistic depends on the employer and the market the person is applying into.

Market evidence

What the record actually supports.

Each source is paraphrased with its method and its limits stated, so you can weigh it yourself.

  • researchHarvard Business School and Burning Glass Institute

    Removing a degree requirement from a job posting rarely changes who gets hired on its own. Across the firms analyzed, only about a third of those that dropped requirements showed real, sustained change in the profile of people they hired.

    The analysis looks at US job postings and hiring records for firms that changed their stated requirements. It is evidence that changing the wording of a requisition without changing how candidates are assessed produces little access. It is not a study of clinical research hiring specifically, and the reported retention finding applies to the firms and roles studied, not to any employer in general.

    Skills-Based Hiring: The Long Road from Pronouncements to Practice (opens in a new tab)
  • vendor surveyCheckr

    In a survey of 3,000 US managers, a large share reported encountering applications containing exaggerated or fabricated experience, and reported spending more time verifying what a candidate claims.

    This is a vendor survey run by a background-screening company, self-reported by managers and not peer reviewed. Read it as an indication that verification burden is rising, not as a measured prevalence rate, and not as a finding about clinical research.

    Hiring hoax: 2025 manager survey (opens in a new tab)
  • market signalKarat

    A established technical-assessment company has moved its product towards human-led, AI-aware evaluation of realistic work, on the argument that AI-assisted candidates make traditional screening less informative.

    A vendor announcement in software hiring. It is market evidence that assessment is moving in this direction. It is not independent validation, and it is not an endorsement of or comparison with BORAKA.

    Karat launches NextGen Interviews (opens in a new tab)
  • researchMicrosoft Security

    Security research documents cases where remote hiring processes were used to place people under a false identity, and sets out why identity and context checks belong alongside skills evaluation.

    The research concerns remote IT and technology roles. BORAKA cites it only to explain why identity and AI-use context are recorded alongside assessed work. It implies nothing about the prevalence of this behavior in clinical research.

    Detection strategies for cloud identities against infiltrating IT workers (opens in a new tab)
What you receive

Written, dated and attributable.

  • A capability definition for the role, in language your team can reuse on the next requisition.
  • The rubric used to assess, including its version, so an older read stays readable later.
  • A structured summary of demonstrated capability and development areas for each assessed professional.
  • A short debrief on what the evidence supports, and what it does not.
Platform preview

Inside the hiring workspace

Illustrative demo data. Names, results and dates are fictional, and every control here is part of the preview.

boraka.co/hiring-workspaceIllustrative demo data

Hiring workspace

Clinical Research Associate

Evidence reviewedNeeds review
Hiring pipeline
  1. Role intakeComplete
  2. SourcingComplete
  3. ScreeningIn progress
  4. Evidence reviewCurrent stage
  5. Structured interview
  6. Reference check
  7. Decision
Role
Clinical Research Associate
Work setting
Site-based
Experience level
Mid-level
Focus
Patient safety, data integrity, site oversight

View role profile

Candidates in evidence review

  • Candidate A

    Site operations background

    Consented record2 reviewers

    Role-fit evidence

    Competency domains

    • Patient safety
    • Data integrity
    • Study monitoring
    • Communication
    • Critical thinking

    Evidence recency

    Most recent: 18 days ago
    All evidence within 12 months

  • Candidate B

    Pharmacy and health sciences

    Consented record2 reviewers

    Role-fit evidence

    Competency domains

    • Patient safety
    • Data integrity
    • Study monitoring
    • Communication
    • Critical thinking

    Evidence recency

    Most recent: 24 days ago
    All evidence within 12 months

  • Candidate C

    Clinical practice background

    Consented record2 reviewers

    Role-fit evidence

    Competency domains

    • Patient safety
    • Data integrity
    • Study monitoring
    • Communication
    • Critical thinking

    Evidence recency

    Most recent: 12 days ago
    All evidence within 12 months

Reviewed by humans, against published rubrics.

Learn how we review evidence

Evidence detail

Protocol deviation simulation

Reviewed

A site visit record with a source data mismatch, where the candidate decides what is reportable and drafts the note to file.

What this evaluates

  • Protocol comprehension
  • Risk assessment
  • Decision quality
  • Documentation

Candidate comparison

Illustrative comparison for Protocol deviation simulation
MeasureABC
OutcomeMetMetMet
Reviewer consensusAligned
Evidence recency18 days24 days12 days
Reviewed byBORAKA reviewer
  • Reviewed
  • Needs review

Next action

What happens next

No long sales cycle. Tell us the role, and we show you the evidence behind the people.

  1. 01

    Tell us the role

    One short message with the role, the study context and when you need people.

  2. 02

    See the evidence

    We show you reviewed work from candidates who fit, not a stack of resumes.

  3. 03

    Interview with facts

    You already know what each person can do before the first call.

Rudy Mallé, founder of BORAKA.
Who you work with

Built by a clinical research practitioner, not a training vendor.

Accreditation
IAOCR Accredited Clinical Research Trainer, Q-IAOCR Trainer accreditation, Trainer #16167194
Experience
15+ years across site, sponsor and CRO clinical operations
Outcomes
Professionals supported through clinical research training, career coaching, and managed job-search services.

Tell us the role, the study context and the decision you need to make. We reply within one business day.

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