Student Helper with interest and/or experience in data science in the Copenhagen Pregnancy Loss project at the Depart...
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Studiejob - Hvidovre
The Copenhagen Pregnancy Loss project (COPL) is hiring a data science student helper for 10-15 hours per week to join the data science team. The data science team is responsible for analytical pipelines, model development and statistical analysis, and data management.
The COPL project was initiated in 2019, following an 18 million DKK investment from the BioInnovation Institute. The goal is to understand causes of pregnancy loss through integration of clinical data and multi-omics data (whole-genome sequencing, metagenomics, proteomics, and metabolomics), and develop new AI models that can assist clinicians in decision making.
As a part of the newly established data science team, you will assist with data management tasks and help develop computational pipelines and analytical models. Specifically, there will be a strong focus on quality control of data, automation of reporting of samples with ad hoc analyses. All work will be done in close collaboration with clinical researchers from the department.
You will be part of a growing environment, in which doctors, biologists, and data scientists openly discuss issues and solutions to advance precision medicine within the area of gynaecology, obstetrics, and women’s health.
Projected start date: As soon as possible
Qualifications:
The ideal candidate,
Preferred, but not essential,
The application should include cover letter, curriculum vitae, and relevant diplomas.
We expect you to work 10-15 hours per week, split across two or three days. The position is flexible and can be planned around your studies. At least 1-2 days per week must be spent on-site. The appointment will be based on the collective agreement with relevant union. The position is limited for a one year period, but can be extended.
For further information, contact Senior Researcher David Westergaard, email [email protected].
Application deadline: Friday the 3rd of February 2023.
Kilde: Jobnet.dk
The COPL project was initiated in 2019, following an 18 million DKK investment from the BioInnovation Institute. The goal is to understand causes of pregnancy loss through integration of clinical data and multi-omics data (whole-genome sequencing, metagenomics, proteomics, and metabolomics), and develop new AI models that can assist clinicians in decision making.
As a part of the newly established data science team, you will assist with data management tasks and help develop computational pipelines and analytical models. Specifically, there will be a strong focus on quality control of data, automation of reporting of samples with ad hoc analyses. All work will be done in close collaboration with clinical researchers from the department.
You will be part of a growing environment, in which doctors, biologists, and data scientists openly discuss issues and solutions to advance precision medicine within the area of gynaecology, obstetrics, and women’s health.
Projected start date: As soon as possible
Qualifications:
The ideal candidate,
- Is a student in a relevant BSc or MSc program (such as, but not limited to, bioinformatics, computational biology, medicine, or computer science). Preferably you have more than one year until you finish your studies
- Has proficiency in Python or R
- Has professional proficiency in English
Preferred, but not essential,
- Knowledge of basic concepts on statistical analysis and/or machine learning
- Knowledge of the workflow management system snakemake
- Experience with git version control
The application should include cover letter, curriculum vitae, and relevant diplomas.
We expect you to work 10-15 hours per week, split across two or three days. The position is flexible and can be planned around your studies. At least 1-2 days per week must be spent on-site. The appointment will be based on the collective agreement with relevant union. The position is limited for a one year period, but can be extended.
For further information, contact Senior Researcher David Westergaard, email [email protected].
Application deadline: Friday the 3rd of February 2023.
Kilde: Jobnet.dk
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Hvidovre.
Jobbet er oprettet på vores service den 4.1.2023, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Øvrige
- Hvidovre
- Fredag den 03. februar 2023
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