◆ Statistics

What a statistical programmer
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

179,740in the US (2025)

$134,050median pay / year

9systems it runs on

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Evaluate network performance

Run the network performance audit on the clinical study compute cluste…3 sources agree

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The work, task by task

20 tasks

Hands on the work12

Evaluate network performance+

Run the network performance audit on the clinical study compute cluster, gather one week of latency, packet loss and throughput logs across the ingestion, processing and reporting tiers, compare against the SLA thresholds and summarise findings for the weekly ops review on Friday.

escojdonet3 agree

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Implement security measures+

Apply the approved security checklist to the study analytics environment: enforce encryption at rest and in transit, rotate service credentials, enable the intrusion detection rules, and produce a compliance report for the security manager by Wednesday.

jdonet2 agree

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Maintain network infrastructure+

Perform the maintenance window for the data processing network: install the scheduled kernel and firmware updates on compute nodes, verify routing and replication after reboot, and log any configuration drift to the infrastructure runbook.

jdonet2 agree

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Adjust network sizes to meet volume or capacity demands.+

Resize the analytics environment to handle the next quarter's 3x data volume by listing which node classes to scale, updated instance counts, estimated cost delta, and a rollback plan to present to finance and platform ops by Friday.

onet

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Communicate with customers, sales staff, or marketing staff to determine customer needs.+

Call the Biostatistics lead and the study sponsor, capture their analysis needs, deliverable formats, and preferred timelines, then summarise the requirements and any regulatory constraints for the analytics team by end of day Wednesday.

onet

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Estimate time and materials needed to complete projects.+

Produce a time and materials estimate for the protocol IV analysis covering development, validation, compute costs, and contingency, with milestones and a three-week buffer, to submit to the project manager on Monday.

onet

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Prepare design presentations and proposals for staff or customers.+

Prepare a ten-slide proposal explaining the proposed analysis pipeline, governance, data lineage, and security controls, include a one-page budget and a two-hour demo plan for the client meeting next Thursday.

onet

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Visit vendors, attend conferences or training sessions, or study technical journals to keep up with changes in technology.+

Schedule vendor visits and one conference day this quarter, prioritise sessions on scalable data pipelines and regulatory-compliant analytics, summarise key takeaways and three concrete practice changes for the team within two weeks after each event.

onet

when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Grow the practice4

Watch and assess3

Keep the record1

What the work runs on

named inside the evidenced tasks

5 tasksApache Kafkacollects and streams network and application telemetry for end-to-end performance analysis

5 tasksApache Hadoopmanages distributed data nodes and coordinates maintenance tasks across the cluster

3 tasksAnsibleautomates configuration changes and policy enforcement across servers and services

3 tasksApache Hivevalidates data availability and query responses after infrastructure changes

3 tasksAmazon Elastic Compute Cloud EC2defines the compute instances and networking topology used in the cluster design

2 tasksAmazon Web Services AWSmanages cloud infrastructure and resources used by analytics platforms relevant to recovery planning

2 tasksAmazon Redshiftrepresents the data warehouse sizing considerations when data volume increases

1 taskApache Cassandradocuments and models distributed node behaviours and replication considerations for operational procedures

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The same task, four heights

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ExecuteDo today's task, with fewer mistakesyou are here → ImproveMake it easy for the next person to acceptin the atlas → DecideWork out the right move when it is unclearin the atlas → BecomeLearn the pattern so it stops coming backin the atlas →

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 statistical programmer 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

$134,050 a year — the middle: half earn more, half earn less
The lowest tenth earn near $79,900; the top tenth near $202,680
179,740 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 job13 of these tasks ESCOThe European skills and occupations register3 of these tasks Job descriptionsReal postings, in the wild9 of these tasks US Bureau of Labor StatisticsPay and employment, by occupation2025 figures UK NOS TECIS610301Assisting with monitoring network and systems activity for anomalous bnational standard UK NOS EUSWSD2LMonitor and review network activities LEGACYnational standard

Close to this work

12 nearby

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Questions people actually ask

You’ll split time between coding, testing, and meetings. Morning: check network and job-monitoring dashboards (AWS CloudWatch, Kafka metrics, or Hive query logs) and fix any failed ETL jobs or slow queries. Afternoon: implement changes—update Ansible playbooks, push CloudFormation templates, or tune Cassandra/Hadoop settings.

You’ll also document fixes and talk to scientists, engineers, or customers to clarify data needs. Expect periodic deploys, tests, and brief incident work when a data pipeline or Redshift cluster misbehaves.

Use AI for code suggestions, query optimization, and log summarization, but never feed raw sensitive data into public models. Keep training or prompt data within private, approved environments (your company’s AWS account or an on-prem GPU), and scrub identifiers first.

Also add human review steps for any model output used in production, and log model decisions. Follow your organisation’s data governance and security rules before deploying any AI component.

Employers want hands-on projects: build a small data pipeline that ingests streaming data with Kafka, stores it in Redshift or Hadoop, and exposes aggregated results. Deploy the pipeline on AWS using CloudFormation and automate config with Ansible.

Take courses in SQL, distributed systems (Hadoop/Cassandra basics), and an AWS certification (Foundations or Data Specialty). Show code on GitHub and a short README explaining deployment steps.

Get very comfortable with SQL and large-scale query tuning—Redshift and Hive performance knowledge solves many real problems. Know how to read explain plans, add the right indexes or sort keys, and reduce data scans.

Second, learn automation and deployment: CloudFormation and Ansible. If you can deploy and reproduce an entire cluster reliably, you’ll avoid firefighting and be trusted to run bigger systems.