Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 26 days ago

Scientific Data Engineer, 12-month FTC

meiragtx7 open roles

Where
London
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowScientific Data Engineer, 12-month FTCmeiragtx · London

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on meiragtx's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 26 days ago

The posting

Your mission

As part of the Data Science team, the Scientific Data Engineer will divide their time between digitalization and data analysis. The candidate will develop and maintain the R&D department’s data model, data pipelines and dashboarding to support R&D activities. These span a wide range of areas including electronic lab notebook templatization and integrations, data capture and storage, results processing, dashboarding, and statistical analysis activities. They will also share responsibility with the wider Data Science team for providing technical support to scientists across these areas.

Job Description

Major Activities

  • Write well-documented and well-tested ELN templates that follow company best practices.
  • Develop tools to maintain and ensure data integrity throughout the data lifecycle.
  • Develop SQL queries to improve data accessibility for operational and scientific user-groups.
  • Implement dashboards to improve data accessibility across the R&D organisation.
  • Perform data mining, data exploration and feature generation to bring proof of concept AI/ML / statistical / mechanistic / hybrid modelling in collaboration with data scientists and bench scientists.
  • Serve as part of the technical support team for software utilised by R&D staff.
  • Train end-users on adequate use of tools released for general use.
  • Produce rigorous documentation of all software development processes.
  • Maintain up-to-date knowledge on state-of-the-art data analysis practices applicable to life sciences R&D.

Key Performance Indicators

  • Accurately and effectively translate user requirements into successful ELN templates and data pipelines.
  • Timely prioritisation and resolution of user- reported bugs / requested enhancements.
  • Working on multiple unrelated projects concurrently while adhering to agreed timelines.

Key Job Competencies

  • Problem Solving - Identifies and resolves problems in a timely manner; gathers and analyzes information skilfully; develops alternative solutions; works well in group problem solving situations; uses reason even when dealing with emotional topics.
  • Motivation - sets and achieves challenging goals; demonstrates persistence and overcomes obstacles; measures self against standard of excellence.
  • Planning/Organizing - prioritizes and plans work activities; uses time efficiently; plans for additional resources; sets goals and objectives; organizes or schedules other people and their tasks; develops realistic action plans.
  • Professionalism - works well under pressure; treats others with respect and consideration regardless of their status or position; accepts responsibility for own actions; follows through on commitments.
  • Innovation - displays original thinking and creativity; meets challenges with resourcefulness; generates suggestions for improving work; develops innovative approaches and ideas.
  • Oral Communication - speak clearly and persuasively in positive or negative situations; listens and gets clarification; responds well to questions; demonstrates good presentation skills; participates effectively in meetings.
  • Written Communication - writes clearly and informatively; edits work for spelling and grammar; varies writing style to meet needs; presents numerical data effectively.

Job Responsibilities

No direct reports.

Job Background

Essential

  • BS/MS degree in Data Science/Data Analysis/Bioprocess Engineering or related discipline
  • Understanding of bioprocessing and/or experience working with bioprocess development data
  • Advanced knowledge of Python and SQL.

Desired

  • Previous industrial experience in pharma ELN maintenance (can include internships/placements).
  • Software / Database / Bioprocess model development experience.
  • Knowledge of dashboarding tools such as Tableau, Spotfire and PowerBI.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against meiragtx's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on meiragtx's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    meiragtx's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.