Angebot 26 von 77 vom 25.11.2021, 12:19


Cha­rité - Uni­ver­si­täts­me­di­zin Ber­lin - Ber­lin Insti­tute of Health

The mis­sion of the Ber­lin Insti­tute of Health (BIH) is med­ical trans­la­tion: trans­fer­ring bio­med­ical rese­arch find­ings into novel approa­ches to per­son­al­ized pre­dic­tion, pre­ven­tion, dia­gnostics and ther­apy and, con­ver­sely, using clin­ical obser­va­tions to deve­lop new rese­arch ideas. The aim is to deli­ver rel­ev­ant med­ical bene­fits to pati­ents and the pop­u­la­tion at large. The BIH is also com­mit­ted to estab­lish­ing a com­pre­hens­ive trans­la­tio­nal eco­sys­tem as trans­la­tio­nal rese­arch area at Char­ité – one that pla­ces empha­sis on a sys­tem-wide under­stand­ing of health and dis­ease and that pro­motes change in the bio­med­ical rese­arch cul­ture. The BIH is fun­ded 90 per­cent by the Fed­eral Min­istry of Edu­ca­tion and Rese­arch (BMBF) and 10 per­cent by the State of Ber­lin. The two found­ing insti­tu­tions, Char­ité – Uni­ver­si­täts­med­izin Ber­lin and Max Del­brück Cen­ter for Molecu­lar Medi­cine in the Helm­holtz Asso­ci­ation (MDC), were inde­pend­ent mem­ber entit­ies wit­hin the BIH until 2020. As of 2021, the BIH has been integ­rated into Char­ité as the so-cal­led third pil­lar; the MDC is priv­ile­ged part­ner of the BIH.

The Stem Cell Core Facil­ity and the Core Unit Bioin­form­at­ics (CUBI) of the BIH are look­ing for a Bioin­form­ati­cian in Mul­timo­dal Data Ana­lysis of Orga­no­ids (f/m/d) to work in the field of ana­lysis of 2D and 3D cel­lu­lar mod­els of liver, heart and brain deri­ved from human pluri­po­tent stem cells (hPSC). We are look­ing for a highly motiv­ated ded­ic­ated can­did­ate to work in the field of ana­lysis of 2D and 3D cel­lu­lar mod­els of liver, heart and brain. The can­did­ate will work for a cent­ral tech­no­logy pro­vi­sion pro­ject in the Col­lab­or­at­ive Rese­arch Centre/Trans­re­gio 296 Loco­Tact fun­ded by the DFG. The Loco­Tact CRC-TR aims to dis­sect the local con­trol of thy­roid hor­mone action in phy­sio­logy and patho­phy­sio­logy ( The inter­dis­cip­lin­ary rese­arch con­sor­tium will take advant­age of soph­ist­ic­ated in vitro tools such as 3D orga­no­ids deri­ved from hPSC to facil­it­ate the stud­ies on the local con­trol of thy­roid hor­mone action in trans­la­tion­ally rel­ev­ant human model sys­tems. The can­did­ate will be expec­ted set up state-of-the-art meth­ods for ana­lysis of 3D orga­no­ids (sin­gle cell RNA sequen­cing, 3D high con­tent ima­ging).

Bioin­form­ati­cian in Mul­timo­dal Data Ana­lysis of Orga­no­ids (f/m/d)

Working field:

  • Ana­lyze pro­ject needs and trans­late bio­med­ical ques­tions into bioin­form­at­ics pro­jects,
  • Design, imple­ment and deploy data ana­lysis work­flows,
  • Select and bench­mark meth­ods and tools, define and per­form appro­pri­ate QC meas­ures,
  • Deve­lop innov­at­ive ana­lysis approa­ches when stand­ard meth­ods are not ade­quate,
  • Con­trib­ute to auto­ma­tion of pro­ces­sing and res­ults report­ing,
  • Inter­pret and pre­sent ana­lysis res­ults to cowork­ers and col­lab­or­at­ors.
  • par­ti­cip­a­tion in the train­ing and super­vi­sion of new col­leagues (e.g. doc­toral stu­dents) in addi­tion to the sci­ent­i­fic work.

Depend­ing on the employ­ment rela­tion­ship, suf­fi­cient time is given for one’s own aca­demic work.


  • PhD in bioin­form­at­ics or com­par­able skills,
  • In depth under­stand­ing of com­pu­ta­tio­nal meth­ods for NGS ana­lysis and the usage of pub­lic data resour­ces,
  • Exper­i­ence with sin­gle cell data ana­lysis is a plus, good under­stand­ing of NGS wet-lab pro­to­cols is a plus,
  • Sound exper­i­ence im multi-modal data integ­ra­tion and stat­ist­ical data ana­lysis is a strong plus,
  • Exper­i­ence in mul­ti­di­men­sio­nal micro­scopy and (auto­mated) data ana­lysis is a strong plus,
  • Demon­stra­ted abil­ity to work with and trou­ble-shoot aca­demic open source soft­ware pack­ages,
  • Excel­lent pro­gram­ming skills in R and Python or sim­ilar, good git know­ledge nee­ded,
  • Demon­strate abil­ity to cre­ate repro­du­cible and reus­able ana­lysis work­flows,
  • Sound exper­i­ence with HPC envir­on­ments, pipe­lines and large scale data man­age­ment,
  • Abil­ity to work in a highly inter­dis­cip­lin­ary envir­on­ment both inde­pend­ently and as part of the team is essen­tial
  • Excel­lent com­mu­nic­a­tion skills in writ­ten and spo­ken Eng­lish.

What we offer:

  • A col­lab­or­at­ive rese­arch envir­on­ment that encour­ages and sup­ports sci­ent­i­fic curi­os­ity, innov­a­tion, and devel­op­ment of its team mem­bers,
  • Remu­ner­a­tion accord­ing to E13 TVöD VKA-K: The group­ing takes into con­sid­er­a­tion the qual­i­fic­a­tions and the per­sonal cir­cum­stan­ces of the can­did­ate,
  • A full-time pos­i­tion (39h/week),
  • Appoint­ment dur­a­tion: ,
  • Fam­ily - fri­endly, flex­ible work­ing hours

How to apply:

We live diversity!
BIH strongly encour­ages qual­i­fied women to apply. Severely dis­abled applic­ants and those with equal
status will be given pref­er­en­tial con­sid­er­a­tion in cases of equal suit­ab­il­ity.

Please sub­mit your applic­a­tion via the BIH Career portal by 05.12.2021,
quot­ing the ref­er­ence num­ber BIH-99.21. We are look­ing for­ward to hear from you!

You can find more inform­a­tion about BIH at