e184 is an Advanced Research Funding Organization (ARFO) that supports frontier science and technology.

We are living in an exponential age. The challenge is that humans are not used to it. Our skills and capabilities are not growing at an ever-increasing rate, and even the population growth rate has slowed down, failing to align with an exponent. At e184, our mission is to invest in science and technology that transforms humans into exponential species.

Industry: Venture Capital and Private Equity Principals
Company Size: 2-10 employees

e184

Savvy Admin PROD

**About us **

e184 Repro is a biotechnology research company with the mission of advancing in vitro gametogenesis to solve one of biology’s most profound challenges: returning the fundamental right to procreate.

We work at the frontier of cutting-edge technology, integrating cellular reprogramming, machine learning-guided optimization, multi-omics analysis, and automated experimental workflows to enable gamete development for individuals facing reproductive challenges.

**Role Overview **

As a Bioinformatics Scientist with a cellular reprogramming background, you will lead computational analysis of multi-modal genomics data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state conversion. This role focuses on gene regulatory network inference, differential analysis of single-cell transcriptomics, and computational prioritization of TF cocktails for cellular reprogramming, requiring deep expertise in multi-platform scRNA-seq analysis and transcriptional regulation biology. You will collaborate closely with wet lab teams to translate computational predictions into experimental designs, while also exploring hybrid approaches that integrate foundation model insights into our reprogramming pipeline.

**What you´ll do **

- **Lead end-to-end TF discovery for cellular reprogramming ** - from multi-platform single-cell genomics analysis (scRNA-seq, ATAC-seq) through GRN inference, differential analysis, and trajectory mapping - to nominate the regulators that flip cell fate.

- **Crack the combinatorial code ** of reprogramming by ranking TF cocktails as actionable combinations and decoding pooled perturbation and CRISPRa screens at single-cell resolution.

- **Read regulatory grammar straight off the chromatin ** - accessibility, motifs, synergy, repression - and build the data backbone that harmonizes modalities and platforms into something we can actually model on.

- **Sit shoulder-to-shoulder with wet lab teammates **, closing the loop between predictions and screens: ingest fresh NGS readouts, retrain, re-prioritize, and pick the next experiment that teaches the model the most.

**Core requirements **

- PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years relevant industry experience);

- Demonstrated track record applying computational TF ranking and GRN inference to cellular reprogramming problems, transdifferentiation, directed differentiation, or iPSC systems;

- Multi-platform single-cell RNA-seq expertise: hands-on analysis from at least two different platforms, including platform-specific troubleshooting and quality control;

- Multi-modal genomics proficiency: ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment;

- Hands-on experience with established GRN inference methods to nominate or rank regulators of cell state, beyond literature-curated lists;

- Experience analyzing pooled perturbation screens (CRISPRa, CRISPR knockout, or barcoded TF overexpression) with single-cell or bulk readouts;

- Working knowledge of trajectory inference and pseudotime methods for mapping cell state transitions;

- Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical analysis for high-dimensional data;

- Comfortable working in a modern computational environment: cloud platforms, workflow managers, containerization, and collaborative version control;

- Strong publication record and demonstrated cross-functional collaboration with experimental biologists.

**You'll stand out with **

- Direct experience nominating or validating TF cocktails that successfully induced a cell state conversion (published or in preparation)

- Experience with dynamical systems modeling for cell state transitions, or inverse problem approaches for TF combination ranking

- Background in advanced trajectory inference (optimal transport, GRN dynamics over pseudotime), Bayesian genomics, multi-omics integration, or cross-species comparative regulatory genomics

- Familiarity with transformer architectures in genomics and interest in hybrid classical/ML approaches to gene regulation

**Why e184? **

- **Unrivaled impact **: Your work directly enables technology that transforms human fertility and reproductive medicine.

- **Full-spectrum growth **: Gain exposure to the entire lifecycle of discovery. From screening to mechanistic validation.

- **Best of both worlds **: Experience the creative chaos of an early-stage startup with the stability of a well-capitalized company.

- **Elite collaboratio **n: Work alongside a world-class team who are as driven as you are.

**What we offer: **

- Competitive salary + equity participation is considered

- State-of-the-art facility in Portland metro area

- Comprehensive Medical, Dental, Vision, and 401(k) with company match

- 20 days PTO + 11 paid holidays

**Disclaimer **

The above job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of e184.

Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

**About us **

e184 Artificial Womb is a biotechnology research company dedicated to advancing ectogenesis - the ability to support human development outside the body - to expand reproductive freedom and redefine what is possible in medicine. Our mission is to remove the biological constraints that limit who can safely carry a pregnancy, enabling new pathways to parenthood for individuals facing medical risk, infertility, or physiological barriers to gestation.

We operate at the intersection of biology, engineering, and computational science, building integrated platforms that combine advanced tissue models, adaptive culture systems, and automated experimental workflows to understand and recreate the conditions required for healthy human gestation beyond the uterus.

**Role overview **

As a Senior Scientist at e184 Artificial Womb, you will lead research focused on translating in vivo placental biology into experimentally tractable model systems that inform the development of functional placental platforms for ex utero gestation. Your work will center on applying mechanistic understanding of placental development, structure, and maternal–fetal exchange to guide the design and optimization of placental organoid and co-culture models capable of supporting perfusion and sustained fetal development.

You will drive experimental strategy from biological discovery through model validation, working closely with tissue engineers, biomaterials scientists, and perfusion engineers to integrate placental biology into engineered systems. This is a highly hands-on leadership role for a scientist with deep expertise in placental development who is excited to translate fundamental reproductive biology into next-generation experimental platforms within a fast-moving, interdisciplinary startup environment.

**What you´ll do **

- Translate in vivo placental biology: Apply knowledge of placental development, trophoblast differentiation, and maternal–fetal exchange to define biological requirements for engineered placental systems.

- Develop placental organoid models: Establish and optimize placental organoid and co-culture systems that recapitulate structural, cellular, and signaling features of developing placenta.

- Guide functional platform development: Inform the design of perfusion-compatible models that enable nutrient, gas, and signaling exchange required for sustained fetal development.

- Characterize placental structure and function: Use imaging, histology, molecular profiling, and functional assays to evaluate trophoblast differentiation, vascular interactions, and transport capacity.

- Define developmental signaling environments: Identify molecular pathways and extracellular cues that regulate placental maturation and integrate findings into experimental platform design.

- Drive interdisciplinary collaboration: Work closely with tissue engineering, hydrogel, and perfusion teams to translate biological insight into engineered solutions supporting long-term development.

**Core requirements **

- PhD in Placenta Biology, Developmental Biology, Reproductive Biology, Cell Biology, or a related field with postdoctoral experience, or 7+ years of relevant industry or academic experience

- Demonstrated expertise in placental development and trophoblast biology

- Strong understanding of maternal–fetal interface biology and placental physiology

- Hands-on experience with mammalian cell culture and placental model systems

- Experience designing and executing independent experimental research programs

- Familiarity with histological and molecular approaches for studying placental development

- Ability to lead complex interdisciplinary research efforts

- Strong organizational and documentation skills

- Comfort working in a fast-paced, iterative startup environment

**You´ll stand out with **

- Experience developing or working with placental organoids or advanced in vitro placental models

- Expertise in trophoblast stem cell biology and differentiation

- Experience studying placental vascularization or nutrient transport mechanisms

- Hands-on histology experience, including tissue processing, sectioning, staining, and microscopy-based analysis

- Experience with transcriptomic, single-cell, or spatial omics approaches in developmental systems

- Familiarity with perfusion or microphysiological culture platforms

- Experience translating in vivo biological findings into engineered or experimental systems

- Prior startup or early-stage technology development experience

**Why e184? **

- Unrivaled impact: Your work directly enables technology that transforms human fertility and reproductive medicine.

- Full-spectrum growth: Gain exposure to the entire lifecycle of discovery. From screening to mechanistic validation.

- Best of both worlds: Experience the creative chaos of an early-stage startup with the stability of a well-capitalized company.

- Elite collaboration: Work alongside a world-class team who are as driven as you are.

**What we offer **

- Competitive salary + equity participation is considered

- State-of-the-art facility in Portland metro area

- Comprehensive Medical, Dental, Vision, and 401(k) with company match

- 20 days PTO + 11 paid holidays

Senior Scientist - Placenta Biology

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