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Cha­rité - Uni­ver­si­täts­me­di­zin Ber­lin - BIH Com­pu­ta­tional Medi­cine AG

The Char­ité - Uni­versitätsmed­izin Ber­lin is a joint med­ical fac­ulty, which serves both Freie Uni­versität Ber­lin and Hum­boldt Uni­versität zu Ber­lin. As one of the largest uni­versity hos­pit­als in Europe with an import­ant his­tory, it plays a lead­ing role in research, teach­ing and clin­ical care. The Char­ité uni­versity hos­pital has also made a name for itself as a mod­ern busi­ness with cer­ti­fic­a­tions in the med­ical, clin­ical and man­age­ment fields.

POSTDOC­TORAL RESEARCHER, STAT­IST­ICAL GENET­ICS

Work­ing field:

We are invit­ing applic­a­tions from out­stand­ing postdoc­toral research­ers as part of the newly estab­lished Com­pu­ta­tional Medi­cine group at the Ber­lin Insti­tute of Health at Char­ité Uni­versity Medi­cine (https://www.bihealth.org).
The aim of this role is to char­ac­ter­ise the genetic archi­tec­ture of diverse aspects of human meta­bol­ism using large-scale pop­u­la­tion-based and patient data and to trans­late these dis­cov­er­ies into strategies to improve health. We use cut­ting-edge meth­ods to integ­rate large scale gen­omic, meta­bolo­mic, and pro­teo­mic data to identify shared genetic reg­u­la­tion with com­mon, com­plex dis­eases with the aim to dis­cover new drug tar­gets, indic­a­tions and dis­ease mech­an­isms. We are ambi­tious, curi­ous and enthu­si­astic about pro­mot­ing sci­entific excel­lence and career devel­op­ment in the con­text of happy fam­ily demands.

The suc­cess­ful can­did­ate will lead high pro­file sci­entific pub­lic­a­tions, rep­res­ent the team in national and inter­na­tional col­lab­or­a­tions and meet­ings, and con­trib­ute to the super­vi­sion of junior research­ers.

  • Devel­op­ment of com­pu­ta­tional work­flows for pro­cessing and ana­lysis of large-scale sequen­cing efforts
  • Integ­ra­tion of dif­fer­ent types of ‘omic’ data for causal infer­ence and pri­or­it­iz­a­tion of drug tar­gets and dis­ease mech­an­isms
  • Engage­ment in national and inter­na­tional col­lab­or­a­tion pro­jects of the group, includ­ing part­ners in Cam­bridge and Oxford
  • Devel­op­ment of work­flows to incor­por­ate pub­licly avail­able data sets to deeply char­ac­ter­ize genetic mark­ers of interest
  • Lead­er­ship of and con­tri­bu­tion to high impact sci­entific pub­lic­a­tions
  • Train­ing and super­vi­sion of Mas­ter and PhD stu­dents within the group in stat­ist­ical genet­ics

Find out more about us and our recent work here:
https://omicscience.org/
https://www.bihealth.org/de/aktuell/den-genetischen-ursachen-von-typ-2-diabetes-auf-der-spur

Require­ments:

If you are flu­ent in writ­ten and spoken Eng­lish, have strong col­lab­or­a­tion and com­mu­nic­a­tion skills and abil­ity to work inde­pend­ently and as part of a team to tight timelines, then apply to become part of our grow­ing team.
Essen­tial require­ments: PhD in stat­ist­ical gen­om­ics, genetic epi­demi­ology, bioin­form­at­ics or a closely related dis­cip­line, with a proven abil­ity to write and pub­lish aca­demic art­icles. The role requires exper­i­ence in ana­lys­ing gen­ome sequence data, excel­lent pro­gram­ming skills for effi­cient stat­ist­ical genetic and com­pu­ta­tional ana­lyses of large-scale data­sets (Python, R or sim­ilar), famili­ar­ity with stat­ist­ical and math­em­at­ical model-build­ing tech­niques, and an aptitude for bio­lo­gical infer­ence and clin­ical trans­la­tion.

Desir­able, use­ful skills and exper­i­ence include all of the fol­low­ing: whole gen­ome and/ or exome sequen­cing, com­plex and rare dis­ease genet­ics, bioin­form­at­ics pipeline devel­op­ment, meta­bolo­mic and pro­teo­mic data and tech­no­lo­gies, gen­ome-wide asso­ci­ation stud­ies, fine-map­ping, high-through­put expres­sion data, PheWAS, Mendelian ran­dom­isa­tion, poly­genic risk scores, func­tional gen­om­ics, net­work ana­lysis, and machine learn­ing approaches.

Please address informal enquir­ies about this job post to Prof. Claudia Lan­gen­berg (claudia.langenberg@charite.de).

How to ap­ply:

Please send all applic­a­tion doc­u­ments, e.g. cover let­ter, cur­riculum vitae,
cer­ti­fic­ates, attest­a­tions, etc. to the fol­low­ing address, quot­ing the ref­er­ence num­ber

Char­ité - Uni­versitätsmed­izin Ber­lin
Cam­pus Mitte
BIH- AG Com­pu­ta­tional Medi­cine
Prof. Claudia Lan­gen­berg
Kapelle-Ufer 2, Ebene 03
claudia.langenberg@charite.de

DIE CHAR­ITÉ – UNI­VERSITÄTSMED­IZIN BER­LIN makes its human resources decisions based on
suit­ab­il­ity, com­pet­ence and pro­fes­sional per­form­ance. At the same time, it strives to increase the per­cent­age of women in man­age­ment pos­i­tions and takes this into con­sid­er­a­tion where can­did­ates are equally qual­i­fied within the lim­its of what is leg­ally pos­sible. Applic­a­tions from people with a migrant back­ground are also expli­citly wel­come. Severely dis­abled applic­ants are given pref­er­en­tial con­sid­er­a­tion in the case of can­did­ates with equal qual­i­fic­a­tions. An exten­ded cer­ti­fic­ate of con­duct must be sub­mit­ted. Any travel expenses incurred can­not be reim­bursed. Data pro­tec­tion notice: Char­ité points out that per­sonal data is stored and pro­cessed as part of the applic­a­tion pro­cess
in dif­fer­ent areas of Char­ité (e.g. fac­ulty, staff com­mit­tee, human resources depart­ment). Fur­ther­more, the data may be trans­ferred or pro­cessed within the group as well as in loc­a­tions out­side the group (e.g. author­it­ies) to pro­tect legit­im­ate interests. By apply­ing, you agree to our data pro­tec­tion reg­u­la­tions and terms of use, which you can find here.