Immatics combines the discovery of true targets for cancer immuno­the­rapies with the develo­pment of the right T cell receptors with the goal of enabling a robust and specific T cell response against these targets. This deep know-how is the foundation for our pipeline of Adoptive Cell Therapies and TCR Bispe­cifics as well as our partner­ships with global leaders in the pharmaceu­tical industry. We are committed to delivering the power of T cells and to unlocking new avenues for patients in their fight against cancer.

We are currently seeking a full- or part-time

Bioin­for­ma­tician as Statis­tical Data Scientist* 

to support our R&D team to develop innovative immuno­the­ra­peutic products for next-generation cancer therapy.

You will work in Tübingen (Germany) in an inter­di­sci­plinary environment with colle­agues from research and clinical depart­ments and will contribute to our mission of developing new cancer immuno­the­rapies to improve clinical outcomes for patients. Tübingen is a vibrant University city close to Stuttgart in the south of Germany. This is a permanent position.

YOUR MISSION

Your main respon­si­bi­lities will include but are not limited to the following tasks:

• Analyze clinical data and data from various assays with statistics or statis­tical learning methods, document and present your findings to guide and support scien­tific decisions.
• Guide experi­mental design, under­standing the mecha­nisms of data generation and contri­buting statis­tical expertise.
• Make suitable assump­tions and develop statis­tical models to infer relati­onships between variables or test hypotheses.
• Contribute to our in-house platform for data analysis in that empowers your fellow scien­tists to develop innovative cancer immuno­the­rapies in a data-driven manner.
• gainst relational databases to enable targeted analyses, develop tailored visua­liza­tions and support the publi­cation of clinical data, working closely with your colle­agues from Trans­la­tional Science and other scien­tific depart­ments.

YOUR PROFILE

• You hold a PhD degree in Bioin­for­matics, Biosta­tistics or a related field. Ideally, you have gained two or more years of additional work experience in industry or academia.
• You have a deep foundation in statistics and experience with biolo­gical and clinical data.
• You are profi­cient in at least one scripting or programming language (e.g., R, Python) and are familiar with Linux based systems.
• Knowledge of SQL databases, machine learning, pepti­domics, or immunology is an advantage.
• You have excellent commu­ni­cation skills in English, a high degree of independent working and analy­tical reasoning, and you thrive in an inter­di­sci­plinary colla­bo­rative environment.

We kindly ask you to enclose with your appli­cation your transcripts of records (including all courses attended and grades earned) for all degrees (i.e., Bachelor, Master, PhD, if appli­cable) and to briefly mention which of your profes­sional skills are relevant for this position from your point of view as well as why you are interested in working at Immatics. 

WHY US?

We are a committed and inspired team and cherish the collegial, highly motivated, and family-friendly atmosphere within Immatics. Our culture allows for a high level of origi­nality, independent thinking, and initiative. We believe in supporting our employees’ profes­sional and social skills: We enable them to join confe­rences and trainings as well as to enjoy our Immatics benefits – e.g., job bike, job ticket, Health Programs, childcare benefits, relocation allowance, Company summer and winter events.

NOTICE

*We value diversity and inclusion. Immatics N.V. and all Immatics subsi­diaries are equal oppor­tunity employers that evaluate qualified appli­cants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orien­tation, gender identity, or other charac­te­ristics protected by law.

Interested? Please apply via our career page: Bioin­for­ma­tician as Statis­tical Data Scientist* | Immatics

Immatics combines the discovery of true targets for cancer immuno­the­rapies with the develo­pment of the right T cell receptors with the goal of enabling a robust and specific T cell response against these targets. This deep know-how is the foundation for our pipeline of Adoptive Cell Therapies and TCR Bispe­cifics as well as our partner­ships with global leaders in the pharmaceu­tical industry. We are committed to delivering the power of T cells and to unlocking new avenues for patients in their fight against cancer.

We are currently seeking a

Bioin­for­ma­tician as Data Warehouse Architect* 

to support our R&D team to develop innovative product candi­dates for cancer immuno­therapy. You will work in an inter­di­sci­plinary environment with colle­agues from research and clinical depart­ments at our site in Tuebingen (Germany) and will contribute to our mission of developing new cancer immuno­the­rapies to improve clinical outcomes for patients. Tuebingen is a vibrant University city close to Stuttgart in the south of Germany. This is a permanent position.

YOUR MISSION

You will support Immatics’ efforts to further digitalize the management of clinical data for cancer immuno­the­rapies. Your main respon­si­bi­lities will include but are not limited to the following tasks:

• Integrate clinical data and life-science data from various sources into our clinical data warehouse as part of our immuno­in­for­matics platform, XCUBE™, to enable real-time access and facilitate inter­active analysis.
• Contribute to the automatic data processing which empowers our scien­tists to work effici­ently and to improve cancer immuno­the­rapies for patients.
• Design, implement, and maintain web inter­faces for our clinical data warehouse.
• Colla­borate with life-science users to identify data silos, to create user requi­rement speci­fi­ca­tions to guide database develo­pment, and to integrate them into the clinical warehouse and our platform for data analysis.

YOUR PROFILE

• You hold a PhD degree inBio­in­for­matics, Computer Science, or a related field, or have at least three years of relevant work experience.
• You have relevant experience with database and software develo­pment in a biolo­gical or medical appli­cation context, demons­trated either through work experience or University courses. Knowledge of SQL databases, statistics or immunology is an advantage.
• You are familiar with Linux-based systems and profi­cient in at least one scripting language (Python, Perl, or similar).
• You have excellent commu­ni­cation skills in English, a high degree of independent working and analy­tical reasoning, and enjoy working in an inter­di­sci­plinary colla­bo­rative environment.

We kindly ask you to enclose with your appli­cation your transcripts of records (including all courses attended and grades earned) for all degrees (i.e., Bachelor, Master, PhD, if appli­cable) and to briefly mention which of your profes­sional skills are relevant for this position from your point of view as well as why you are interested in working at Immatics.

WHY US?

We are a committed and inspired team and cherish the collegial, highly motivated, and family-friendly atmosphere within Immatics. Our culture allows for a high level of origi­nality, independent thinking, and initiative. We believe in supporting our employees’ profes­sional and social skills: We enable them to join confe­rences and trainings as well as to enjoy our Immatics benefits – e.g., job bike, job ticket, Health Programs, childcare benefits, relocation allowance, Company summer and winter events.

NOTICE

*We value diversity and inclusion. Immatics N.V. and all Immatics subsi­diaries are equal oppor­tunity employers that evaluate qualified appli­cants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orien­tation, gender identity, or other charac­te­ristics protected by law.

The Dept. of Molecular Immunology at the Ruhr-University Bochum invites appli­ca­tions from highly­mo­ti­vated candi­dates (m/f/x) with an interest in the regulation of gene expression influencing immune responses, the develo­pment of immune cells, and host-pathogen inter­ac­tions. The candidate (m/f/x) is
expected to work team-oriented in an inter­na­tional environment.

The Ruhr-Univer­­­­­sität Bochum is one of Germany’s leading research univer­sities, addressing the whole range of academic  disci­plines. A highly dynamic setting enables resear­chers and students to work across the tradi­tional boundaries of academic subjects and faculties. To create knowledge networks within
and beyond the university is RUB’s declared aim.
The Ruhr-Univer­­­­­sität Bochum stands for diversity and equal oppor­tu­nities. For this reason, we favour a working environment composed of hetero­ge­neous
teams, and seek to promote the careers of indivi­duals who are under­re­pre­sented in our respective profes­sional areas. The Ruhr-Univer­­­­­sität Bochum expressly requests job appli­ca­tions from women. In areas in which they are under­re­pre­sented they will be given prefe­rence in the case of equivalent quali­fi­ca­tions with male candi­dates. Appli­ca­tions from indivi­duals with disabi­lities are most welcome.

Your tasks:

• Develo­pment and appli­cation of methods to analyze transcrip­tomics (e.g. RNAseq, scRNAseq), genomics (e.g. ATACseq, Cut&Run, micro­biota), and proteomics (e.g. mass spectro­metry) data
• Pathway, Gene Ontology and similar analyses
• Teaching and super­vision of Bachelor and Master students
• Writing of publi­ca­tions and acqui­sition of third-party funding

Your profile:

• PhD in bioin­for­matics, bioche­mistry, biology, or similar
• Experience in programming in R, Python, Perl, and/or C++
• Interest in developing techniques such as machine learning and/or artificial intel­li­gence
• Excellent skills in commu­ni­cation (English and German) and work organization
• Fluency in German (at least C1 level, in word and writing – required for an effective commu­ni­cation and for teaching in German) (nur bei Lehrver­pflichtung)

Our offerings:

• challenging and varied tasks with a high degree of personal respon­si­bility
• team-orien­­­tated coope­ration in a committed, inter­na­tional and appre­ciative team
• a modern, well-equipped workplace
• fair working hours and family-friendly working
• other social benefits according to the TV‑L

Additional infor­mation:

• At the request of the applicant (m,f,x), the staff council may be involved in selection inter­views. https://www.wpr.ruhr-uni-bochum.de/
• The load of teaching will be calcu­lated according to § 3 of Lehrver­pflich­tungs­ver­ordnung (state of North Rhine-Westphalia).
• German language courses are offered by the University Language Center (ZfA) in the field of German as a Foreign Language (DaF) https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
• You can find infor­mation about TVL at: https://oeffentlicher-dienst.info/

Contact details for your appli­cation:

• Prof. Dr. Ingo Schmitz, Phone: +49234 32 21111
• Travel expenses for inter­views cannot be refunded.
• For infor­mation on the collection of personal data in the appli­cation process see: https://www.ruhr-unibochum.de/en/information-collection-personal-data-application-process.
• We are looking forward to receiving your appli­cation with the speci­fi­cation ANR: 3254 until June 3rd 2024, send by e‑mail to the following address: ingo.schmitz@rub.de

ERC-funded PhD and Postdoc Positions in Compa­rative Genomics
(full time / part-time options available)

The Hiller Lab at the LOEWE Center for Trans­la­tional Biodi­versity Genomics (TBG) in Frankfurt, Germany has two openings for a PhD student and/or a Postdoc to work on the BATPROTECT project to inves­tigate the genomic basis of long health­spans, disease resis­tance, and viral tolerance in bats.

BATPROTECT

is a 6‑year funded ERC synergy grant project that will use bats as natural models of healthy aging and disease tolerance to elucidate the molecular mecha­nisms behind bats’ excep­tional longevity and resis­tance to viral and age-related diseases. BATPROTECT brings together a team of global leaders in bat biology and ageing (Emma Teeling, Dublin), bat immunology and virology (Linfa Wang, Singapore), evolution and genomics (Michael Hiller, Frankfurt), and ageing model organisms (Bjoern Schumacher, Cologne) that will jointly inves­tigate aging and immune responses in bats from the wild and captive colonies, discover genes with evolu­tionary importance for longevity and disease resis­tance, and functionally validate longevity and immune regulators in stem and diffe­ren­tiated cells of bats and model organisms, with the ultimate goal to uncover new direc­tions to improve human healthspan and disease outcome.

The Project

The overall goal is to uncover the genomic basis of excep­tional health­spans and disease tolerance in bats, under­stand the evolution of these traits, and identify key molecular targets for functional validation. To this end, we will assemble ~150 new reference-quality bat genomes using HiFi and HiC sequencing to better cover the diversity of bats, generate compa­rative transcrip­tomic datasets, and analyze these data using our estab­lished methods reper­toire (TOGA and others). Work includes phylo­ge­nomics, performing compa­rative screens to identify key adapt­a­tions in coding and non-coding (miRNA) genes as well as diffe­rences in gene expression patterns across the bat phylogeny, associating genomic changes with longevity and viral reservoir status traits, identi­fying novel bat genes, and inves­ti­gating endoge­nized viral elements. The exact project will be defined based on the interests of the appli­cants.

The PhD student and postdoc will work closely with other members of the BATPROTECT team, the Hiller lab, and other Bat1K colla­bo­rators. We also offer exchanges with the other BATPROTECT labs as well as yearly retreats with all project members.

Your profile

• Master or PhD degree in bioinformatics/computational biology, genomics or a related area
• Solid programming skills in a Linux environment, experience with shell scripts and Unix tools
• Strong interest in compa­rative genomics, experience in compa­rative genomics is an advantage
• English in written and oral form

More infor­mation on our lab and how to apply can be found at https://sgn.one/46c
The appli­cation deadline is June 7.

Job announcement ref. #09–24003

The Senckenberg Gesell­schaft für Natur­for­schung (SGN) was founded in 1817 and is one of the most important research insti­tu­tions around biolo­gical diversity. At its eleven sites throughout Germany, scien­tists from over 40 nations conduct cutting-edge research on an inter­na­tional scale. At the site in Müncheberg, Brandenburg, the Senckenberg German Entomo­lo­gical Institute (SDEI) is located in a research town in the Berlin area, with state-of-the-art scien­tific facilities.

The Senckenberg Gesell­schaft für Natur­for­schung intends to fill at the Senckenberg German Entomo­lo­gical Institute (SDEI) located in Müncheberg, near Berlin, as soon as possible the position of a

Head of Entomology Infor­mation Center
(tenure track / full time / part time options available)

Senckenberg is committed to study the causes and effects of biodi­versity loss in the Anthro­pocene. As part of our strategic develo­pment, we launched an ambitious long-term research effort in “Anthro­pocene Biodi­versity Loss” encom­passing the modules “Collec­tomics”, “Biodi­versity Genomics”, and “Solution Labs”. Objec­tives include the trans­for­mation of natural history collec­tions into the digital era, studying biodi­versity from the genome to the ecosystem levels and offering explo­ratory spaces for science and society to develop common solutions to Anthro­pocene challenges.

Within this research effort, Senckenberg takes innovative steps in collection-based research and data science. The objective of “Collec­tomics” is to make current and future natural history collec­tions digitally acces­sible and to improve integration and colla­bo­ration across regions, collec­tions, and disci­plines. This will enable broader, more holistic biodi­versity research, for the benefit of people and nature.

Further aligning collection develo­pment with identified knowledge gaps will be crucial for advancing our under­standing in this field. To this end, it is imperative to enhance tradi­tional collection-based research by integrating across all Senckenberg sites cutting-edge molecular genetic techno­logies, digital imaging, histo­rical DNA analysis (hDNA) methods and artificial intel­li­gence (AI), among others.

Your tasks:

• Develo­pment of digital research platforms to unlock extensive natural science collec­tions, libraries and archives in order to make use of their data, infor­mation and knowledge. Utilising these platforms for enhancing the integration of biolo­gical, geolo­gical and cultural diversity.
• Leading and advancing the department “Infor­mation Centre Entomology”.
• Attracting outstanding talents, and estab­lishment of an independent world-class research team; training of staff, future genera­tions of students, and early-career scien­tists.
• Acqui­sition of external funding (e.g. DFG, EU-programs, applied projects)
• Integration of and colla­bo­ration with core projects of Senckenberg and with partner insti­tutes, in parti­cular advancing the recently estab­lished research domain Anthro­pocene Biodi­versity Loss
• Preferably editorship for “Contri­bu­tions to Entomology” and for entomo­lo­gical issues of the “Senckenberg Monographs” (till now “Nova Supple­menta Entomo­logica”)
• Contri­buting to general functions and the management of the Institute

Your quali­fi­cation:

• A doctoral degree in natural science, media or biodi­versity infor­matics, with in-depth knowledge in big data science related to biodi­versity s.l.
• Experience in management and analysis of big data, and preferably in object digiti­sation as well as in data and text mining
• Strong publi­cation record in relevant research domains
• Willingness to parti­cipate in inter- and trans­di­sci­plinary research; good commu­ni­cation skills, and experience in inter­na­tional coope­ration
• Experience in acqui­sition of external funding
• Profound knowledge of entomology is desired
• Profi­ciency in both German and English languages is essential.

We offer:

• An attractive and challenging position in a research insti­tution of global reputation that values diversity, openness and creativity
• A tenure-track position (according to the SGN tenure-track process)
• A salary that reflects the tasks and respon­si­bi­lities of the position based on the collective agreement for public service (TV‑L) in the state of Brandenburg
• Excellent oppor­tu­nities for further quali­fi­cation, career develo­pment and colla­bo­ration across disci­plines and insti­tutes
• Flexible working hours – support with childcare or caring for family members (certified by the “audit berufund­fa­milie”) – a collec­tively agreed special annual payment – collec­tively agreed vacation entit­lement – company pension plan

Location of employment:       Müncheberg (Brandenburg, close to Berlin, Germany)
Working hours:                          Full time / part time options available
Type of contract:                       Employment is initially limited to three years, depending on experience and status. A long-term perspective is provided.
Salary:                                           According to the collective agreement for public service TV‑L (E 14 or E15)

Senckenberg is committed to diversity. We benefit from the different expertise, perspec­tives and perso­na­lities of our staff and welcome every appli­cation from qualified candi­dates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orien­tation and identity or disability. Women are parti­cu­larly encou­raged to apply, as they are under­re­pre­sented in the field of this position and will be given prefe­rence in the case of equal quali­fi­ca­tions.

Appli­cants with disabi­lities (“Schwer­be­hin­derung”) will be given prefe­rential conside­ration in case of equal suita­bility. Senckenberg actively supports the compa­ti­bility of work and family and places great emphasis on an equal and inclusive work culture.

We welcome your appli­cation!

Please submit your complete and compre­hensive appli­cation (letter of motivation with a short description of your previous and current research foci, your detailed CV, certi­fi­cates of academic achie­ve­ments, as well as letters of recom­men­dation) mentioning the reference of this job announcement (Ref. #09–24003) by 24^th of May 2024 by e‑mail (attachment in a single pdf document) to: recruiting@senckenberg.de.

Alter­na­tively, you can apply directly through our online appli­cation form at our home page www.senckenberg.de/de/karriere/bewerbung/.

Senckenberg Gesell­schaft für Natur­for­schung
Sencken­berg­anlage 25
60325 Frankfurt a.M.
E‑Mail: recruiting@senckenberg.de

For more infor­mation on the position, please contact Prof. Dr. Thomas Schmitt via email Thomas.Schmitt@Senckenberg.de or +49 33432 73698–3700

For more infor­mation about the Senckenberg Nature Research Society visit www.senckenberg.de.

An der Professur Bioin­for­matik an der Fakultät für Biowis­sen­schaften (Prof. Stefan Schuster) ist zum 01.07.2024 oder später eine Stelle als Wissenschaftliche:r Mitarbeiter:in Bioin­for­matik in Teilzeit (90% / 36 Wochen­stunden) befristet für 4,5 Jahre zu besetzen.

Die Forschung an der o.g. Professur zielt auf ein Verständnis der komplexen Prozesse in lebenden Zellen und deren Inter­ak­tionen mittels mathe­ma­ti­scher Model­lierung und Compu­ter­si­mu­lation.

Ihre Aufgaben:

• Bioin­for­ma­tische und system­bio­lo­gische Forschung
• Koope­ration mit experi­mentell arbei­tenden Gruppen
• Durch­führung von Lehrver­an­stal­tungen in Bioin­for­matik (Übungen, Prose­minare etc.)
• Betreuung von Abschluss­ar­beiten im B.Sc. und M.Sc. Bioin­for­matik
• Literatur- und Patent­re­cherchen
• Arbeit an einem eigenen wissen­schaft­lichen Quali­fi­zie­rungs­projekt, i.d.R. Habili­tation

Ihr Profil:

Abgeschlossene Promotion (Dr. rer. nat. oder Dr. Ing.) oder zumindest einge­reichte Disser­tation in Bioin­for­matik, Infor­matik, Biologie, oder einem anderen natur­wis­sen­schaft­lichen Fach
Interesse an mathe­ma­ti­scher Model­lierung biolo­gi­scher Prozesse

Kennt­nisse in der Compu­ter­pro­gram­mierung

Bewerbung über das Online-Formular im unten angege­benen Link. Die Frist wird evtl. noch verlängert.

Link: Online-Stellen­­­markt der Univer­sität Jena, Wissenschaftliche:r Mitarbeiter:in Bioin­for­matik

Are you passionate about the appli­cation of bioin­for­matics to genome-based medicine? The Chair of Compu­ta­tional Molecular Medicine at the Technical University of Munich (TUM) is seeking a talented and driven individual to join our dynamic team. As part of the newly funded European project ERDERA, you will develop innovative bioin­for­matics methods to improve and accelerate diagno­stics and identi­fi­cation of treatment options for rare diseases.

About us
The Chair of Compu­ta­tional Molecular Medicine, led by Prof Julien Gagneur, develops compu­ta­tional approaches to study genomes. Appli­ca­tions of our work range from under­standing basic mecha­nisms governing gene expression to unravelling genetic aberra­tions triggering rare diseases and cancer. More at https://www.cs.cit.tum.de/cmm/home/.

The project
ERDERA, the European Rare Disease Research Alliance (https://www.ejprarediseases.org/erdera/) is a new 7‑year EC-funded project starting 1st September 2024. ERDERA aims to improve the diagnosis and treatment of rare diseases in Europe. It integrates under one roof research capacity, resources, and service from 171 public insti­tu­tions, hospitals, and companies spanning patient recruit­ments, genome sequencing and omics profiling, data integration, software develo­pment for diagnosis and treatment recom­men­da­tions, and the develo­pment of new thera­peutics. ERDERA colla­bo­rates with national initia­tives such as Germany’s genomic medicine project (https://www.bundesgesundheitsministerium.de/en/en/international/european-health-policy/genomde-en.html) that will yield 10,000s of genomes from routine diagno­stics for research. Our team co-leads the ERDERA work package on “Diagnostic Research Workstream — Genomic innovation to shorten time to diagnosis”.

Your role
You will develop and apply methods that jointly process DNA variants and results derived from RNA-seq data to increase analysis speed and relia­bility. This will include improving and integrating non-coding variant annotation tools and aberrant event callers, for which our lab has made substantial contri­bu­tions (e.g. AbSplice, AbExp, OUTRIDER, FRASER). You will integrate data from multiple centers, develop and implement workflows covering quality control proce­dures, compre­hensive analysis, and automa­ti­cally generated reports. Moreover, you will develop guide­lines for results inter­pre­tation and follow-up on their imple­men­tation and outcome.

More infor­mation:
https://drive.google.com/file/d/1wQirTZABk6liyd-MIoZb_wMrAbkro0Pz/view

We are currently looking for a full-time Postdoc in Bioin­for­matics for Rare Disease Research. Are you passionate about the appli­cation of bioin­for­matics to genome-based medicine? The Chair of Compu­ta­tional Molecular Medicine at the Technical University of Munich (TUM) is seeking a talented and driven individual to join our dynamic team. As part of the newly funded European project ERDERA, you will develop innovative bioin­for­matics methods to improve and accelerate diagno­stics and identi­fi­cation of treatment options for rare diseases.

About us
The Chair of Compu­ta­tional Molecular Medicine, led by Prof Julien Gagneur, develops compu­ta­tional approaches to study genomes. Appli­ca­tions of our work range from under­standing basic mecha­nisms governing gene expression to unravelling genetic aberra­tions triggering rare diseases and cancer. More at https://www.cs.cit.tum.de/cmm/home/.

The project
ERDERA, the European Rare Disease Research Alliance (https://www.ejprarediseases.org/erdera/) is a new 7‑year EC-funded project starting 1st of September 2024. ERDERA aims to improve the diagnosis and treatment of rare diseases in Europe. It integrates under one roof research capacity, resources, and service from 171 public insti­tu­tions, hospitals, and companies spanning patient recruit­ments, genome sequencing and omics profiling, data integration, software develo­pment for diagnosis and treatment recom­men­da­tions, and the develo­pment of new thera­peutics. ERDERA colla­bo­rates with national initia­tives such as Germany’s genomic medicine project (https://www.bundesgesundheitsministerium.de/en/en/international/european-health-policy/genomde-en.html) that will yield 10,000s of genomes from routine diagno­stics for research.
Our team co-leads the ERDERA work package on “Diagnostic Research Workstream — Genomic innovation to shorten time to diagnosis”.

Your role
You will develop and apply methods that jointly process DNA variants and results derived from RNA-seq data to increase analysis speed and relia­bility. This will include improving and integrating non-coding variant annotation tools and aberrant event callers, for which our lab has made substantial contri­bu­tions (e.g. AbSplice, AbExp, OUTRIDER, FRASER). You will integrate data from multiple centers, and develop and implement workflows covering quality control proce­dures, compre­hensive analysis, and automa­ti­cally generated reports. Moreover, you will develop guide­lines for results inter­pre­tation and follow-up on their imple­men­tation and outcome. Also, you will be involved in the scien­tific coordi­nation of workshops and data analysis hacka­thons.

More infor­mation:
https://drive.google.com/file/d/1UWraqsqW9Q8YStKNW3bxDQIFr0xeyeTu/view

Boehringer Ingelheim AI & Data Science Fellowship Program

The AI & Data Science Fellowship Program, a coope­ration between the University of Tübingen, distin­gu­ished as excellent by the Federal Government of Germany, and Boehringer Ingelheim, a leading pharmaceu­tical company, is inviting appli­ca­tions for a

Postdoc­toral Research Fellow – AI & Data Science (f/m/d; E13 TV‑L, 100%)

to work on cutting-edge and exciting AI & data science research topics that generate real added value for human and animal healthcare.

https://uni-tuebingen.de/en/university/careers/newsfullview-job-advertisements/article/postdoctoral-research-fellow-f-m-d-e13-tv-l-100/

The Hiller Lab at the LOEWE Center for Trans­la­tional Biodi­versity Genomics (TBG) in Frankfurt, Germany is looking for a Bioin­for­ma­tician to work on the BATPROTECT project to inves­tigate the genomic basis of long health­spans, disease resis­tance and viral tolerance in bats.

BATPROTECT
is a 6‑year funded ERC synergy grant project that will use bats as natural models of healthy aging and disease tolerance to elucidate the molecular mecha­nisms behind bat’s excep­tional longevity and resis­tance to viral and age-related diseases. BATPROTECT brings together a team of global leaders in bat biology and ageing (Emma Teeling, Dublin), bat immunology and virology (Linfa Wang, Singapore), evolution and genomics (Michael Hiller, Frankfurt), and ageing model organisms (Bjoern Schumacher, Cologne) that will jointly inves­tigate aging and immune responses in bats from the wild and captive colonies, discover genes with evolu­tionary importance for longevity and disease resis­tance, and functionally validate longevity and immune regulators in stem and diffe­ren­tiated cells of bats and model organisms, with the ultimate goal to uncover new direc­tions to improve human healthspan and disease outcome.

The Project
The Bioin­for­ma­tician will be respon­sible for the assembly of reference-quality genomes of more than one hundred bat species, for which we are generating PacBio HiFi and HiC data. For a few focal species, we also aim at generating a T2T assembly. The Bioin­for­ma­tician will also work on analyzing transcrip­tomics data that we are sequencing in parallel for all target bat species, using this data and our homology-based methods (TOGA) to annotate the new genomes, generating whole genome alignments of bats and other mammals, and supporting the BATPROTECT project with other data processing and analysis tasks. The Bioin­for­ma­tician will work closely with other Bioin­for­ma­ti­cians at TBG, other members of the BATPROTECT team and the Hiller lab. We offer exchanges with the other BATPROTECT labs as well as yearly retreats with all project members.

Our lab
The mission of our group is to under­stand how nature’s fasci­nating pheno­typic diversity has evolved and how it is encoded in the genome. Work in the lab includes sequencing and assembly of reference-quality genomes, genome alignment and gene annotation, develo­pment and appli­cation of compa­rative genomic methods to discover diffe­rences in genes and gene expression, and the use of statis­tical approaches to link pheno­typic to genomic changes [1–10]. Our lab is part of TBG (https://tbg.senckenberg.de/) and Senckenberg Research Society, and is based near the city center of Frankfurt am Main, Germany. TBG provides access to cutting-edge compu­ta­tional (large HPC clusters, genome browser) and lab infra­structure to sequence genomes. English is the working language in our lab. Senckenberg and TBG provide flexible working hours, an annual special payment, a company pension scheme, the Senckenberg badge for free entry in museums, the zoo, botanical garden and Palmen­garten, and a leave of 30 days per year. Frankfurt is a vibrant and highly-inter­na­­­tional city at the heart of Europe that combines a skyscraper skyline with ample park and green areas. The Economist 2022 index ranked Frankfurt among the top 10 most livable cities worldwide.

Your profile
— A Master-level degree in bioin­for­matics / compu­ta­tional biology, genomics or a related area. A PhD degree is an advantage, but not strictly required. — Excellent programming skills in a Linux environment as well as experience with shell scripting and Unix tools. — Previous experience in genome assembly and ideally genome annotation.

Place of employment: Frankfurt am Main Working hours: full time (40 hours/week) / part-time options are available Type of contract: initially limited for 2 years, but ERC funding is available for a total of 4 years
Start date: flexible but should ideally be in late spring 2024. Salary and benefits: according to the collective agreement of the State of Hesse (pay grade E13)

Senckenberg is committed to diversity. We benefit from the different expertise, perspec­tives and perso­na­lities of our staff and welcome every appli­cation from qualified candi­dates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orien­tation and identity or disability. Women are parti­cu­larly encou­raged to apply, as they are under­re­pre­sented in the field of this position; in the case of equal quali­fi­ca­tions and suita­bility they will be given prefe­rence. Appli­cants with disabi­lities (“Schwer­be­hin­derung”) will be given prefe­rential conside­ration in case of equal suita­bility. Senckenberg actively supports the compa­ti­bility of work and family and places great emphasis on an equal and inclusive work culture.

How to apply
Please send us your appli­cation documents containing — a CV with publi­cation list and contact infor­mation for at least two references — a summary of previous research experience (max 1 page) — and copies of certi­fi­cates, transcripts and grades) in electronic form (as a coherent PDF file) by March 22, 2024 to recruiting@senckenberg.de quoting the reference number #12–24001, or apply through the online appli­cation form on our homepage.

Senckenberg Gesell­schaft für Natur­for­schung
Sencken­berg­anlage 25
60325 Frankfurt a.M.
E‑Mail: recruiting@senckenberg.de

For more infor­mation please contact Prof. Dr. Michael Hiller, michael.hiller@senckenberg.de or visit the lab webpage https://tbg.senckenberg.de/hillerlab/. For more infor­mation about the Senckenberg Gesell­schaft für Natur­for­schung, please visit www.senckenberg.de.