Table 1Transition record

statisticiantobiometrician

A statistician already meets 80% of what the biometrician role asks for. The move turns on 5 required skills not yet in the profile.

From statistician

80%

Overlap1

To biometrician

52 Skills carried over

5 Required, not held

32.4 Difficulty2

adjacent 0–30

moderate 30–55

substantial 55–75

career change 75–100

this move, 32.4

This move: 32.4 of 100 · moderate

1 Share of the biometrician role’s weighted skill requirement already met by the statistician profile. Required skills count in full, supplementary skills at 0.35. Directional: the figure for the reverse move differs. 2 Combines what is missing with how specialised it is, so a gap of general skills scores easier than the same number of narrow ones.

Table 2

Table 2 · What you already bring

Of the 52 skills that carry over, these are the ones fewest other occupations ask for. A biometrician role needs them, and most people applying for one will not have them already. This is the part of a statistician background worth leading with.

Skill the target role also needs Area

already held biometrics natural sciences, mathematics and statistics
already held develop statistical software working with computers
already held plan research process information skills
already held statistical modeling techniques natural sciences, mathematics and statistics
already held data science information and communication technologies (icts)
already held conduct public surveys information skills

All 52 carried skills, including the 39 the biometrician role treats as required.

Table 3

Table 3 · What you would need to learn

The 21 missing skills fall into 7 areas of the ESCO skill hierarchy, numbered below in the order worth working in: the areas carrying the most required skills come first, and inside each one the required skills sit above the supplementary ones.

Skill to acquire Tier

01 natural sciences, mathematics and statistics 2 required, 4 supplementary

required, not held computational biology required
required, not held life sciences required

optional, not held computational chemistry optional
optional, not held proteomics optional
optional, not held stem cells optional
optional, not held biology optional

02 information skills 2 required, 2 supplementary

required, not held develop scientific research protocols required
required, not held interpret current data required

optional, not held manage data collection systems optional
optional, not held gather experimental data optional

03 information and communication technologies (icts) 1 required, 2 supplementary

required, not held scientific modelling required

optional, not held SAS language optional
optional, not held screen reader optional

04 communication, collaboration and creativity 5 supplementary

optional, not held contribute to development of biometric systems optional
optional, not held create software design optional
optional, not held apply teaching strategies optional
optional, not held assist in clinical trials optional
optional, not held write work-related reports optional

05 assisting and caring 1 supplementary

optional, not held assess environmental impact optional

06 management skills 1 supplementary

optional, not held prepare exercise session optional

1 further area in the appendix

Table 4

Table 4 · Where to start

The 3 entries a biometrician role is least likely to hire without. The ordering is computed from the skill data, not from what pays.

Each entry opens a course search for that skill. Career Overlap earns nothing from these links.

Appendix

Appendix · The rest of the record

All 52 skills that carry over

Skill Type

already held apply for research funding skill
already held apply research ethics and scientific integrity principles in research activities skill
already held apply statistical analysis techniques skill
already held biometrics knowledge
already held communicate with a non-scientific audience skill
already held conduct research across disciplines skill
already held data science knowledge
already held demonstrate disciplinary expertise skill
already held develop professional network with researchers and scientists skill
already held disseminate results to the scientific community skill
already held draft scientific or academic papers and technical documentation skill
already held evaluate research activities skill
already held execute analytical mathematical calculations skill
already held increase the impact of science on policy and society skill
already held integrate gender dimension in research skill
already held interact professionally in research and professional environments skill
already held manage findable accessible interoperable and reusable data skill
already held manage intellectual property rights skill
already held manage open publications skill
already held manage personal professional development skill
already held manage research data skill
already held mathematics knowledge
already held mentor individuals skill
already held multidisciplinary research knowledge
already held operate open source software skill
already held perform project management skill
already held perform scientific research skill
already held plan research process skill
already held promote open innovation in research skill
already held promote the participation of citizens in scientific and research activities skill
already held promote the transfer of knowledge skill
already held publish academic research skill
already held research design knowledge
already held scientific research methodology knowledge
already held speak different languages skill
already held statistics knowledge
already held synthesise information skill
already held think abstractly skill
already held write scientific publications skill
already held advise on legislative acts skill
already held apply blended learning skill
already held assist scientific research skill
already held conduct public surveys skill
already held develop scientific theories skill
already held develop statistical software skill
already held manage database skill
already held prepare lesson content skill
already held provide lesson materials skill
already held statistical analysis system software knowledge
already held statistical modeling techniques knowledge
already held teach in academic or vocational contexts skill
already held write research proposals skill

The 1 learning area not shown above

Skill to acquire Tier

07 working with computers 1 supplementary

optional, not held prepare visual data optional

16 supplementary skills, helpful but not required

Skill to acquire Tier

optional, not held contribute to development of biometric systems optional
optional, not held SAS language optional
optional, not held computational chemistry optional
optional, not held create software design optional
optional, not held manage data collection systems optional
optional, not held prepare exercise session optional
optional, not held proteomics optional
optional, not held stem cells optional
optional, not held apply teaching strategies optional
optional, not held assess environmental impact optional
optional, not held assist in clinical trials optional
optional, not held biology optional
optional, not held gather experimental data optional
optional, not held prepare visual data optional
optional, not held screen reader optional
optional, not held write work-related reports optional

33 held skills the biometrician role does not ask for

Skill Type

not needed by the target role advise on financial matters skill
not needed by the target role algorithms knowledge
not needed by the target role analyse big data skill
not needed by the target role apply scientific methods skill
not needed by the target role build predictive models skill
not needed by the target role carry out statistical forecasts skill
not needed by the target role computer simulation knowledge
not needed by the target role conduct quantitative research skill
not needed by the target role data ethics knowledge
not needed by the target role data quality assessment knowledge
not needed by the target role deliver visual presentation of data skill
not needed by the target role demography knowledge
not needed by the target role design questionnaires skill
not needed by the target role develop financial statistics reports skill
not needed by the target role digital data processing skill
not needed by the target role gather data skill
not needed by the target role healthcare analytics knowledge
not needed by the target role identify statistical patterns skill
not needed by the target role information confidentiality knowledge
not needed by the target role manage quantitative data skill
not needed by the target role market research knowledge
not needed by the target role marketing analytics knowledge
not needed by the target role mathematical modelling knowledge
not needed by the target role opinion poll knowledge
not needed by the target role perform data analysis skill
not needed by the target role present reports skill
not needed by the target role process data skill
not needed by the target role quantitative analysis knowledge
not needed by the target role scientific literature knowledge
not needed by the target role set theory knowledge
not needed by the target role social network analysis knowledge
not needed by the target role use mathematical tools and equipment skill
not needed by the target role use spreadsheets software skill

9 gaps that are knowledge rather than practice

Knowledge gaps usually close through study. Practical skill gaps usually need something you can point at.

Skill to acquire Tier

required, not held computational biology required
required, not held life sciences required
required, not held scientific modelling required
optional, not held SAS language optional
optional, not held computational chemistry optional
optional, not held proteomics optional
optional, not held stem cells optional
optional, not held biology optional
optional, not held screen reader optional

Index

Other moves recorded from statistician

Full index of moves from statistician

Note

How this record was compiled

Both occupations are taken from ESCO, which lists the skills and knowledge each occupation is expected to have and marks every one required or optional. Nothing here is a prediction about hiring, and nothing here knows that a particular employer wants a particular certificate. Treat Table 3 as a starting point for your own research rather than a syllabus. The full method states what these figures can and cannot tell you.