◆ Biology

What a bioinformatics scientist
really does.

20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.

20evidenced tasks
55,850in the US (2025)
$98,920median pay / year
9systems it runs on
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Assist scientists in various fields including biotechnology and pharmaceutics
Support the biotech and pharmaceutical teams by analysing the latest s…2 sources agree

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The work, task by task

20 tasks
Hands on the work16
Assist scientists in various fields including biotechnology and pharmaceutics+
Support the biotech and pharmaceutical teams by analysing the latest sequencing and assay outputs, standardise and upload cleaned metadata to the experiment database, produce a two-page summary of key findings and uncertainties, and prepare datasets for web access by Friday.
escoonet2 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Gather and analyse biological data+
Pull the last six months of sequencing runs, QC metrics and sample metadata, combine and normalise the reads, run differential expression and generate a slide deck summarising top hits with figures and method notes for Friday's lab meeting.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Build and query biological databases+
Design the schema, load the existing annotation files and sample tables, create indexes for fast variant queries and write example queries to extract samples by gene, variant consequence and collection date so the team can validate performance.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Create or modify web-based bioinformatics tools.+
Prototype the web endpoint that serves variant annotations, wire it to the sample metadata, add authentication and a simple JSON response for gene queries, then run the unit tests and deploy the build to the staging site for user testing tomorrow.
escojdonet3 agree
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.+
Review the lab's pain points with sequence alignment speed and storage costs, propose three computational strategies with estimated compute hours and storage needs, and schedule a one-hour meeting with Dr. Alvarez and the lead technician next Tuesday to decide.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement.+
Prepare a two-page brief for product and business development that explains our variant-calling limits, suggests three feature improvements, and lists potential market benefits and regulatory risks for the product team meeting Friday.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Prepare summary statistics of information regarding human genomes.+
Generate summary tables and figures of allele frequencies, variant counts per chromosome, and sample QC metrics for the 2,400 human genomes, include methods and a one-paragraph interpretation for the genetics team by Thursday.
onet
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Mine diverse biological data types+
Assemble an analysis plan to integrate exome, transcriptome, and methylation datasets, list required preprocessing steps, feature selection ideas, and a timeline to deliver preliminary results in six weeks.
jd
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
Grow the practice3
Watch and assess1

What the work runs on

named inside the evidenced tasks
7 tasksGitHubstore and version analysis scripts and final report assets for collaboration
4 tasksDockercontainerise the app for consistent staging deployment
4 tasksIBM SPSS Statisticsproduce reproducible summary statistics and formatted tables for reporting and downstream interpretation
3 tasksGitmanages versioned analysis code and tracks dataset updates and metadata changes for reproducibility
3 tasksApache Hadoopaggregate and process large-scale sequencing datasets for downstream analysis at scale
2 tasksDjangoframework for building web endpoints, routing requests, and integrating with databases for bioinformatics tools
2 tasksBashscript and standardize pipeline steps and monitoring checkpoints to enforce the improved processes
1 taskAmazon Web Services AWSprovision database instances and scalable storage to host biological datasets and serve query workloads
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Can AI actually do this job?

the honest answer

It can

where it genuinely helps
  • Explain the theory behind the work
  • Draft, tidy and structure your writing
  • Rehearse a hard conversation before you have it
  • Build a study plan that fits your gaps

It cannot

where it stops, completely
  • Be in the room where a bioinformatics scientist actually works
  • Carry the responsibility when the call is wrong — that weight stays yours
  • Notice what no one wrote down: the hesitation, the thing left unsaid
  • Live with the outcome

What the work pays

two countries, two different measures

United States

this exact occupation · BLS 2025
  • $98,920 a year — the middle: half earn more, half earn less
  • The lowest tenth earn near $60,430; the top tenth near $168,010
  • 55,850 people employed in this occupation

India

the occupation GROUP, not this job · PLFS via ILOSTAT 2025
  • ₹38,298 a month — the median for Professionals, the group this work sits in
  • India publishes pay by broad occupation group, so this covers many jobs besides this one. It is a shape, not a salary.
read this carefullyThese two numbers are not comparable and must not be converted into each other. One is a yearly figure for this job alone; the other is a monthly figure for a whole family of jobs. What travels between them is the pattern, not the amount: experience lifts pay almost everywhere.

Where the evidence lives

open any of it yourself
O*NETThe US Department of Labor's own record of this job10 of these tasks ESCOThe European skills and occupations register11 of these tasks Job descriptionsReal postings, in the wild7 of these tasks US Bureau of Labor StatisticsPay and employment, by occupation2025 figures UK NOS COGBIO-04Develop algorithms and pipelines for the analysis of life science datanational standard UK NOS COGBIO-05Carry out computational analysis of life science-related datanational standard

Close to this work

12 nearby
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Questions people actually ask

You often split time between coding, data work, and meetings. Mornings might be running pipelines (Hadoop, AWS) or debugging code (Python/C++/Bash).

Afternoons commonly involve consulting with biologists, cleaning or loading data into databases (Postgres, Django apps) and writing short reports or slides for project leaders or conferences.

Expect version control with Git and GitHub, containers with Docker, cloud compute on Amazon Web Services (AWS), and pipelines that can run on Apache Hadoop for big data. You’ll also use scripting in Bash and a compiled language like C++ for speed.

For stats and quick analyses you might use IBM SPSS Statistics or Python libraries; web tools often use Django for interfaces and standard databases for storage.

You prepare summary statistics, figures, and short reports for project leaders and collaborators, then present at lab meetings or conferences. Many results become scientific papers or methods published in journals.

You also update web tools or databases (Django-backed sites, GitHub repos) so other teams can query the data directly.

They overlap but have different emphases. Bioinformatics focuses on building databases, web tools, and pipelines to manage and query biological data. Computational biology often develops new algorithms to model biological systems.

Data science is broader and may not require domain knowledge in genomics. Bioinformatics specifically needs familiarity with DNA data, sampling, and tasks like preparing genome summary statistics.

The U.S. Bureau of Labor Statistics (BLS) reports 55,850 employed and a median wage of $98,920 per year for this occupation. The lowest tenth earn about $60,430 and the top tenth about $168,010.

Use those BLS numbers as a market snapshot; actual offers vary by employer, location, and experience.

Learn Git and GitHub for version control, some Bash for command-line work, and a scripting language (Python is common); practice with small real datasets and build a Django web app or simple API.

Try cloud basics on AWS, containerize projects with Docker, and learn to use or query big-data tools like Apache Hadoop. Work on a portfolio: a GitHub repo with pipelines, a web UI, and sample data.

Coding and data handling are the most directly useful—being able to write reproducible pipelines (Git, Bash, Docker) and load/query databases matters from day one.

You still need basic biology (DNA, genomes) and statistics to interpret results and create genome summary statistics, but employers expect you to grow in those areas on the job.