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

Open nowPosted today

Scientist (Postdoctoral Fellow: Computational Methods for Long Read RNA-Seq data), GIS

MyCareersFuture101,380 open roles

Pay
SGD 4,750 – SGD 9,500 a month
Where
West, Singapore
Get the CV for this job

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

Your applicationOpen nowScientist (Postdoctoral Fellow: Computational Methods for Long Read RNA-Seq data), GISMyCareersFuture · West, Singapore

  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 MyCareersFuture'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.

8.2% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 4 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.1%30 days
This job: posted today

MyCareersFuture median: 4 days open

The posting

The lab of Computational Transcriptomics at the Genome Institute of Singapore, A*STAR (led by Dr Jonathan Göke) is offering a position for a postdoctoral fellow to develop computational methods for population-scale long read RNA-Seq data. Areas of interest include the identification of RNA modifications from direct RNA-Seq data, the analysis of transcript expression, alternative promoters and alternative transcription start sites from single cell and spatial long read RNA-Seq data, genome annotation for the Asian Reference Genome Project, and identifying transcriptional mechanisms for rare diseases. The position will be in close collaboration with experimental and clinical collaborators, industry partners, and will provide resources for large-scale data generation and full access to the latest long read sequencing technologies.

The candidate will join an experienced team with expertise in methods development for long read RNA-Seq data (e.g. Bambu, Nature Methods (2023), m6Anet, Nature Methods (2022) and xPore, Nature Biotechnology (2021)), large scale transcriptomics data generation (e.g. the SG-NEx project, Nature Methods (2025)), genome assembly (I002C, Sarashetti et al, biorxiv (2025)) and the analysis of large-scale transcriptomics data (e.g. Demircioglu et al, Cell (2019)). More information about the lab can be found online: https://www.jglab.org/ and www.github.com/goekelab

Requirements:

  • PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline
  • Good programming skills, experience with coding agents, and strong interest in methods development
  • Experience in one or more of the following areas: algorithms development, transcriptome analysis, RNA modifications, statistics, machine learning, long read RNA-Sequencing, direct RNA-Sequencing
  • Publication record with a first author publication (pre-prints are accepted)
  • Excellent communication skills

We are searching for promising candidates who are great team players and actively seek opportunities to learn new skills. If you are unsure about your eligibility, please feel free to reach out via email.

Benefits

The Genome Institute of Singapore offers a competitive salary and a complete benefits package.

About Singapore and the Genome Institute of Singapore

Singapore is a city-state with one of the highest standards of living in the world and an international hub for the biomedical sciences. Singapore is a vibrant, tropical city, with rich Asian heritage and modern style of living, an ideal gateway to explore Asia, providing a unique experience and an excellent quality of life.

The Genome Institute of Singapore (A*STAR) is the national flagship program for genomic science in Singapore. You can find out more online: http://www.gis.a-star.edu.sg/

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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 MyCareersFuture'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 MyCareersFuture'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

    MyCareersFuture'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.