CIPF predoctoral researcher in computational multi-omics for MORPHEUS

CIPF predoctoral researcher in computational multi-omics for MORPHEUS

This is a strong specialist option for a bioinformatics, computational biology or biostatistics Master’s graduate who can work closely with experimental cancer researchers. It is not assessed as a generic machine-learning job: the formal selection allocates 20% to experience with cell models, alongside substantial weight for multidisciplinary computation and omics interpretation. The employer is the Príncipe Felipe Research Center (CIPF), Valencia. The individual degree-awarding university, doctoral programme and computational day-to-day supervisor remain unconfirmed. The saved official call is R1.03/2026, application 188, dated 27 October 2026, with a deadline of 19 November 2026 at 12:00 CET, or 19:00 Beijing time. The saved materials do not establish whether the portal is currently accepting applications. The formal conditions specify four years, 37.5 hours weekly, €22,116.69 gross annual salary and a planned start of 1 February 2027. Call, formal conditions.

What the computational researcher will do

The advertised responsibilities are analysis and integration of multi-omic data, development and validation of computational models and machine-learning algorithms, biomarker research and tumour stratification. Transcriptomic, metabolomic and lipidomic knowledge is especially relevant. Familiarity with tumour samples and histopathological information helps the researcher understand what the measurements represent; the vacancy also mentions experience with gene-expression and immunohistochemistry data. It does not establish that every experimental procedure will be the computational researcher’s own responsibility. The scientific problem is heterogeneity. An association that separates samples in one experimental setting may not identify which patients benefit from a nanomedicine. Differences between tissues, cellular compartments, model systems and data-generation batches can affect interpretation. The applicant’s contribution should therefore connect data quality, biological context and validation, rather than simply combine more variables. The exact datasets, sample availability, clinical endpoints and balance between analysis and experimental collaboration are not public commitments yet. MORPHEUS investigates links between tumour physical properties, metabolism and personalised nanomedicine research. The European Commission’s project page describes an ambitious research programme, not established clinical efficacy. Its stated translational aims do not make this vacancy a clinical prescribing role. A useful application can explain a previous analysis, its assumptions, uncertainty and limits, and how findings were checked against independent evidence. Project facts and aims. Data quality, reproducibility and FAIR stewardship are explicit duties. FAIR means findable, accessible, interoperable and reusable; it allows authentication and authorisation. It does not require releasing identifiable patient data publicly. Ask who controls access, what provenance and consent restrictions apply, which code and derived results can be published, and what protected computing environment will be available. These are core research conditions rather than administrative details. Original FAIR principles.

Host, doctoral registration and training

CIPF is the research employer and host. The ERC’s official Advanced Grant 2025 results independently identify María Jesús Vicent, CIPF and MORPHEUS in panel PE11. This is evidence of competitively assessed research ambition and PI standing; it is not a university ranking, a measure of student supervision or a guarantee that the proposed research will succeed. There is no justified university-wide rank to assign to this vacancy while its degree university remains unknown. ERC results. The centre’s researcher-development programme describes individual learning-needs assessment, research governance and communication training, expected participation of five sessions in the first year and three in each of years two and three, and a written annual progress report. Confirm the current arrangement for a four-year entrant; the page does not specify a fourth-year minimum. This centre programme supports professional development but does not replace doctoral admission or degree requirements. CIPF training. The Universitat de València’s Biomedicine and Biotechnology programme documents research at CIPF among its partner environments, so it is a plausible local route worth discussing. It is not a confirmed assignment for this student. Its supervision page describes a research plan, activities and personal training plan, with positive annual evaluation required to continue and a six-month reassessment after a negative outcome. These rules are conditional context until the actual university and programme are agreed. Do not confuse CIPF with Universitat de València or Universitat Politècnica de València. Programme environment, monitoring.

PI, facilities and recent evidence

Vicent leads the Polymer Therapeutics Laboratory and is the MORPHEUS PI. The lab’s current staff and her dated CV show an established group with researchers, postdocs, technicians and previous doctoral supervision. The CV includes academic and industrial links; it is self-reported, and its various university and host labels cannot determine this post’s registration. Ask who will teach advanced statistical integration, review code and provide routine computational mentoring, and whether a co-supervisor will cover these needs. A large interdisciplinary programme is useful only if the individual supervision arrangement works. Laboratory, December2025 CV. CIPF’s computing facility lists 20 nodes, 744 CPU cores, 4 GPU cards, 9 TB RAM and 1 PB raw storage, with Linux, SLURM and technical assistance. This confirms a relevant shared environment, not a dedicated allocation or unlimited GPU access. Data security, quotas and support for the planned workflow should be confirmed. Computing facility. Three recent team publications provide distinct evidence:

1. Boix-Montesinos, Carrascosa-Marco, Armiñán and Vicent, Journal of Controlled Release 381, 113584 (2025) concerns advanced preclinical breast-cancer models and functional biomarkers for nanomedicine research. It is directly relevant to the gap between a model-system measurement and patient stratification. The publisher’s indexed contribution record credits Vicent with supervision, resources, validation and project administration among other roles. This is preclinical evidence, not a prospectively validated patient-selection tool. Primary publication.
2. Domingo-Ortí et al., Analytical Chemistry 95(45), 16539–16548 (2023) reports differences between whole-cell and mitochondrial metabolic profiles in a preclinical cancer context. It warns against treating measurements from different biological compartments as interchangeable. Vicent is one of three corresponding authors; that alone does not allocate the analysis to her. The study does not establish a clinically useful biomarker for this new project. Primary abstract.
3. Pegoraro et al., Advanced Materials 37(8), e2411595 (2025) investigates polymer carriers and subcellular localisation. Its relevance here is the need to connect material behaviour with biological readouts, rather than assume one molecular measurement captures treatment response. The published contribution statement attributes conceptualisation, funding and project administration to Vicent with support from Conejos-Sanchez. Industrial coauthors and a patent are disclosed. This is preclinical research, not clinical validation or a guaranteed industrial placement. Primary abstract and disclosure. Reading scope is the first paper’s publisher-indexed highlights, abstract opening and selected contribution record; the second paper’s complete publisher abstract and authorship; and the third paper’s complete primary indexed abstract, disclosure and selected contribution statement. Full journal methods, underlying datasets and clinical validation were not audited. The first paper’s publisher page also contains recommended articles, whose abstracts are not evidence about that paper.

Contract, salary and Valencia budget

The formal vacancy specifies four years at €22,116.69 gross per year, linked to the private-health-sector agreement for Valencia province. A division by 12 gives approximately €1,843.06 gross monthly for budgeting; the actual number of pay instalments and net salary were not confirmed. Ask about contractual salary updates, deductions, probation, start conditions and employment eligibility. The contract duration should not be inferred from the five-year grant. CORDIS gives the overall MORPHEUS EU contribution as €2,499,745, running September 2026–August 2031. That pays for the project as a whole, not an individual student award. The job documents do not establish personal tuition coverage, a research-visit allowance or funding after the contract ends. Obtain those terms in writing before accepting. Grant facts. As local context, the Universitat de València’s incoming-student page quotes a shared room at €350–450 monthly excluding bills, about €50 for shared utilities per person and €250 for groceries and small expenses. Their sum, €650–750, is only a partial student reference: internet, transport, deposits, registration, immigration and travel can add costs. It is not a 2027 rental quote, an employee budget or evidence of guaranteed accommodation. Without net pay and actual fees, no reliable savings figure can be calculated. Local cost reference.

Qualifications, scoring and submission

The basic requirements are a relevant Master’s and high spoken and written English, alongside applied-statistics, omics and tumour-data understanding. No IELTS or GPA threshold is specified here. The official scoring is training 15% (Master’s 5%, English 10%); multidisciplinary experimental/computational work, programming and machine learning 20%; transcriptomic/metabolomic interpretation 20%; cell-model experience 20%; specified social circumstances 5%; and interview 20%. The top three in the merit stage proceed to interview. R/Python experience and experimental understanding have concrete value; a purely computational applicant should assess the 20% cell-model component realistically rather than assume it is irrelevant. Submit CV, cover letter and references through the official employment portal, citing R1.03/2026. The saved public call page explicitly requires removal of name, gender, age, marital status, nationality and photograph from the CV. The English PDF’s list omits name, so follow the stricter web instruction and ask HR how to separate identity fields from the anonymised CV. References are required, but their number and whether they mean contacts or letters need clarification. Do not invent a research-proposal requirement or replace the portal with email. The formal HR contact is recursoshumanos@cipf.es. Call and application. For Chinese qualifications, employment credential review and university admission are separate. If UV is selected, its general rules require official qualifications and transcripts, appropriate translation/legalisation, degree-equivalence review and grade conversion to the ten-point scale; a non-EHEA Master’s also needs evidence of doctoral access in its issuing country. China is listed under the Hague Apostille route. These are conditional UV rules, not guaranteed eligibility or an instruction to obtain documents before confirming the actual university. General doctoral documents, foreign qualifications. China-based applicants must coordinate the research residence/work authorisation with HR. Spain’s current ministry guidance covers eligible third-country researchers and doctoral candidates subject to the relevant contract or hosting and other conditions. It does not establish automatic approval or which individual route CIPF will use. Ministry guidance.

Decision, careers and remaining questions

The transferable training can include reproducible omics analysis, statistical judgement, shared computing and communication across experimental and computational teams. Those skills can support further research, biotechnology or pharmaceutical data roles. CIPF’s selected alumni examples show possible academic paths, and Vicent’s CV records industrial links; neither provides a representative placement rate or guarantees a job or visa outcome. Alumni examples. Before applying, clarify the reference format and anonymous-CV handling, then show specific evidence for the advertised scoring categories. Before accepting, settle the degree university/programme, formal thesis director and daily computational mentor; Chinese-degree assessment and English proof; net-pay basis, fees and salary updates; visa and registration timing for February 2027; datasets and permissions; computing allocation, validation milestones and research visits; and data/software/IP and completion funding. Saved call materials specify the submission period, but whether the portal is still accepting applications has not been confirmed.

Evidence and Sources

Links support the associated claims. The individual contract and formal doctoral admission remain the deciding documents for personal eligibility and financial commitments.