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The Char­ité - Uni­versitätsmed­izin Ber­lin

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.

2 PostDocs - Com­pu­ta­tional Sys­tems Bio­logy and Meta­bol­ism

Field of applic­a­tion: CC02, Insti­tut für Bio­chemie
Cam­pus: Char­ité Cam­pus Mitte

Work­ing field:

Loc­ated in the heart of Ber­lin, the Char­ité – Uni­versitätsmed­izin Ber­lin is one of Europe’s largest and most research-intens­ive med­ical fac­ulties. The Ralser’s labor­at­ory is world-renowned for its stud­ies that under­stand­ing how cel­lu­lar meta­bol­ism, the net­work of bio­chem­ical reac­tions in the cell, is reg­u­lated, how it evolved, and how it main­tains func­tional integ­rity in the ever-chan­ging envir­on­ment the cell is exposed to. This research addresses fun­da­mental prob­lems in the life sci­ences, where know­ledge about cel­lu­lar meta­bolic sys­tems is required to develop new thera­peut­ics and to under­stand the molecu­lar basis of dis­ease.

Your area of respons­ib­il­ity

We are look­ing for two enthu­si­astic postdoc­toral sci­ent­ists to join Prof. Markus Ralser’s labor­at­ory at the Char­itè - Uni­versitätsmed­izin Ber­lin, Insti­tute for Bio­chem­istry. We have developed mass-spec­tro­metry based meth­ods that can very effect­ively meas­ure thou­sands of quant­it­at­ive pro­teo­mes and found com­pu­ta­tional strategies to link these to cel­lu­lar meta­bol­ism. We will now apply to them to under­stand how pro­tein expres­sion dynam­ics influ­ence meta­bol­ism. We will screen pro­teo­mic changes in thou­sands of yeast strains as well as human samples, and link them to mech­an­ist­ic­ally under­stand the changes in meta­bol­ism and pre­dict the phen­o­types they cre­ate. We encour­age the applic­a­tion of both postdocs with an exper­i­mental, ana­lyt­ical, as well as com­pu­ta­tional back­ground, but the daily work will be mostly in com­pu­ta­tional meta­bol­ism research, the bio­lo­gical applic­a­tion of machine learn­ing, and ‘big data’ ana­lysis. The post is, hence, ideal for someone with a com­pu­ta­tional or data-affine exper­i­mental back­ground to get into the ana­lysis of large bio­lo­gical data­sets, into the con­duc­tion of func­tional gen­om­ics exper­i­ments, and into the pre­dic­tion of phen­o­types from multi-omics data. The pos­thold­ers will also be work­ing closely with the recently estab­lished ‘Nationaler Forschung­skern Mas­sen­spek­tro­met­rie’, in the ana­lysis of clin­ical pro­teo­m­ics data for med­ical and epi­demi­olo­gical stud­ies.


  • PhD, or Research Doc­tor­ate, in the basic sci­ences
  • Pro­ductiv­ity doc­u­mented in pub­lished research art­icles or pat­ents;
  • Exper­i­enced in the hand­ling of large data­sets, and respect­ive pro­gram­ming and stat­ist­ical skills
  • If exper­i­mental, exper­i­enced in the con­duc­tion of sys­tem­atic, per­haps large-scale, exper­i­ments
  • Desir­able are exper­i­mental skills in Micro­bi­o­logy and Bio­chem­istry